CN110595779A - A detection method and related equipment for bearing abnormality - Google Patents

Abstract

The application discloses a bearing abnormality detection method and related equipment, which are applied to a vibration detection device. The method includes: when the bearing vibration of the tested equipment is determined to be abnormal, acquiring the bearing vibration data of the tested equipment; calling the preset The vibration detection algorithm processes the bearing vibration data to obtain bearing vibration information, which is used to describe the bearing vibration of the equipment under test; based on the bearing vibration information, determine the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test. Adopting the embodiments of the present application can improve the detection efficiency of bearing abnormality.

Description

A detection method and related equipment for bearing abnormality

technical field

The present application relates to the technical field of mechanical detection, in particular to a detection method and related equipment for bearing abnormality.

Background technique

Bearing is an important part of contemporary mechanical equipment. Its main function is to support the mechanical rotating body, reduce the friction coefficient during its movement, and ensure its rotation accuracy. cause a safety accident. At present, the detection method of bearing abnormality is usually to manually analyze the rotation sound of the bearing, and rely on experience to locate the problem. This method has high requirements for the professional quality of the detection personnel and low detection efficiency.

Contents of the invention

Embodiments of the present application provide a bearing abnormality detection method and related equipment, which are used to improve the detection efficiency of bearing abnormalities.

In the first aspect, the embodiment of the present application provides a bearing abnormality detection method, which is applied to a vibration detection device, and the method includes:

When it is determined that the vibration condition of the bearing of the equipment under test is abnormal, acquiring the vibration data of the bearing of the equipment under test;

Calling a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, the bearing vibration information is used to describe the bearing vibration of the device under test;

Based on the bearing vibration information, the bearing abnormal position and bearing abnormal cause of the tested equipment are determined.

In the second aspect, the embodiment of the present application provides a detection device for bearing abnormality, which is applied to a vibration detection device, and the detection device for abnormal bearing vibration includes:

An acquisition unit, configured to acquire bearing vibration data of the tested equipment when it is determined that the bearing vibration of the tested equipment is abnormal;

a processing unit, configured to invoke a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, and the bearing vibration information is used to describe the bearing vibration of the device under test;

The determination unit is configured to determine the bearing abnormal position and the cause of the bearing abnormality of the device under test based on the bearing vibration information.

In a third aspect, an embodiment of the present application provides a vibration detection device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured by the above Executed by a processor, the above program includes instructions for executing the steps in the method described in the first aspect of the embodiments of the present application.

In a fourth aspect, the embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables the computer to execute Part or all of the steps described in the method described in one aspect.

In a fifth aspect, the embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute the program as implemented in the present application. For example, some or all of the steps described in the method described in the first aspect. The computer program product may be a software installation package.

It can be seen that in the embodiment of the present application, when it is determined that the bearing vibration of the equipment under test is abnormal, the vibration detection device acquires the bearing vibration data of the equipment under test; the preset vibration detection algorithm is called to process the bearing vibration data to obtain the bearing vibration Information; Based on the bearing vibration information, the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test are determined without manual judgment, which improves the detection efficiency of bearing abnormalities, saves labor costs, and reduces the professional threshold of technicians.

These or other aspects of the present application will be more concise and understandable in the description of the following embodiments.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is a detection system for bearing abnormality provided by the embodiment of the present application;

Fig. 2A is a detection method for bearing abnormality provided by the embodiment of the present application;

Fig. 2B is a schematic structural diagram of a bearing provided in an embodiment of the present application;

FIG. 2C is an interface display diagram of a vibration detection device provided in an embodiment of the present application;

Fig. 2D is an interface display diagram of another vibration detection device provided in the embodiment of the present application;

Fig. 3 is another detection method for bearing abnormality provided by the embodiment of the present application;

Fig. 4 is a schematic structural diagram of a vibration detection device provided in an embodiment of the present application;

Fig. 5 is a schematic structural diagram of a bearing abnormality detection device provided by an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

Each will be described in detail below.

The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

Hereinafter, some terms used in this application are explained to facilitate the understanding of those skilled in the art.

Please refer to FIG. 1 . FIG. 1 is a bearing abnormality detection system provided by an embodiment of the present application. The bearing abnormality detection system includes a vibration detection device and a device under test.

Wherein, the vibration detection device includes an electronic device with computing capability dedicated to vibration detection, the vibration detection device may include a unit with data acquisition capability or an external device, and the vibration detection device may include various devices with wireless communication Functional handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal equipment ( terminal device) and so on. The unit capable of data acquisition may be, for example, a camera module, and the external device capable of data acquisition may be, for example, a video camera. Wherein, the measured object includes a bearing.

It can be seen that in the embodiment of the present application, when it is determined that the bearing vibration of the equipment under test is abnormal, the vibration detection device acquires the bearing vibration data of the equipment under test; the preset vibration detection algorithm is called to process the bearing vibration data to obtain the bearing vibration Information; Based on the bearing vibration information, the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test are determined without manual judgment, which improves the detection efficiency of bearing abnormalities, saves labor costs, and reduces the professional threshold of technicians.

Please refer to Fig. 2A, Fig. 2A is a method for detecting abnormality of a bearing provided in the embodiment of the present application, which is applied to a vibration detection device, and the method includes:

Step 201: When it is determined that the vibration of the bearing of the equipment under test is abnormal, acquire the vibration data of the bearing of the equipment under test.

Wherein, the bearing vibration data may be a bearing vibration picture, a bearing vibration text, a bearing vibration video, a bearing vibration audio, etc., which are not limited herein.

In an implementation manner of the present application, the determination that the bearing vibration of the equipment under test is abnormal includes:

Under the first condition, it is determined that the vibration of the bearing of the tested equipment is abnormal, and the first condition includes at least one of the following: the speed of the bearing of the tested equipment is less than or equal to a preset speed during operation, the tested The noise of the bearing of the tested equipment during operation is greater than or equal to the preset noise, and the range of the bearing of the tested equipment during operation is greater than or equal to the preset range.

Wherein, the preset rate, preset noise and preset range may be set based on the rated rate, rated noise and rated range of the device under test in normal operation. The rated range refers to the allowable range where the device under test deviates from the fixed position due to unavoidable factors.

For example, assuming that the rated speed of bearing A is 3200r/min, the rated noise is 30dB, and the rated range is ±5mm, then the preset speed can be 3200r/min, the preset noise is 30dB, and the preset range is ±5mm.

In an implementation manner of the present application, before the acquisition of the bearing vibration data of the device under test, the method further includes:

determining the structural parameters of the bearing of the device under test, the structural parameters including the size of the bearing and/or the material of the bearing;

determining an operating parameter of the bearing based on the structural parameter, the operating parameter comprising a load of the bearing and/or a rotational speed of the bearing;

sending a running command to the device under test, the running command carrying the working parameter, and the running command is used to request the device under test to control the bearing to run with the working parameter;

The bearing is photographed by a camera to obtain bearing vibration data of the device under test.

Among them, different structural parameters correspond to different working parameters. Table 1 is a mapping relationship between bearing size, bearing load, and bearing speed, and Table 2 is a mapping relationship between bearing material, bearing load, and bearing speed.

Table 1

Table 2

Bearing material bearing load bearing speed plastic 1000N 3000r/s ceramics 10000N 6000r/s carbon-doped steel 100000N 9000r/s ··· ··· ···

Step 202: call a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, and the bearing vibration information is used to describe the bearing vibration of the device under test.

The bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time-domain waveform.

In an implementation manner of the present application, the bearing vibration data is a bearing vibration video, and the calling of a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information includes:

Select N feature points on the bearing, where N is an integer greater than 1;

Analyzing the bearing vibration video to obtain M image frames, each image frame includes the N feature points, and the M is an integer greater than 1;

Invoking a preset vibration detection algorithm to process the M image frames to obtain bearing vibration information.

In an implementation manner of the present application, the bearing includes a bearing outer ring, a bearing inner ring and a ball body, and selecting N feature points on the bearing includes:

Select N ₁ feature points on the outer ring of the bearing, the

Select N ₂ feature points on the inner ring of the bearing, the

Select N ₃ feature points on the ball body, the

Wherein, the N, the N ₁ , the N ₂ and the N ₃ are all integers greater than 1, the L ₁ is the circumference of the outer ring of the bearing, and the L ₂ is the inner circumference of the bearing. The circumference of the ring, the α is the filling rate of the ball in the bearing, and the P is the rotational speed of the bearing.

As shown in Figure 2B, Figure 2B is a schematic structural diagram of a bearing provided in the embodiment of the present application. The bearing includes a bearing outer ring, a bearing inner ring and a ball body, and the position of the feature point is represented by the rectangular coordinate system X-Y-Z in space. . The feature points can be selected on the outer ring of the bearing, and/or the inner ring of the bearing and/or the ball body, and can be selected on different planes, which are not limited here.

Further, the α is determined based on the L ₁ , the L ₂ determination and the filling rate formula, wherein the filling rate formula is:

In an implementation manner of the present application, the format of the M image frames is the first format, and the calling of the preset vibration detection algorithm to process the M image frames to obtain bearing vibration information includes:

converting M image frames of the first format into M image frames of a second format, the first format being different from the second format;

determining the positions of the N feature points in the M image frames in the second format;

determining trajectory vectors of the N feature points based on positions of the N feature points in the M image frames in the second format;

Bearing vibration information is obtained based on the track vectors of the N feature points.

In an implementation manner of the present application, the first format is RGB, the second format is YIQ, and the converting the M image frames in the first format into M image frames in the second format includes :

Converting the M image frames of the first format into M image frames of the second format based on a first formula, the first formula is:

Y=0.299*R+0.587*G+0.114*B,

I=0.596*R-0.275*G-0.321*B,

Q=0.212*R−0.523*G+0.311*B.

Among them, RGB is a color standard in the industry. It obtains a variety of colors by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. Yes, RGB is the color that represents the three channels of red, green, and blue. This standard includes almost all the colors that human vision can perceive. It is one of the most widely used color systems at present.

Wherein, YIQ is a television system standard (National Television Standards Committee, NTSC). Y is the luminance signal (Luminance) that provides black and white TV and color TV, that is, brightness (Brightness), I stands for In-phase, the color is from orange to cyan, Q stands for Quadrature-phase, and the color is from purple to yellow-green. Compared with other color spaces, the YIQ color space has the advantage of being able to separate and extract the brightness components in the image, and the relationship between the YIQ color space and the RGB color space is a linear transformation, with a small amount of calculation and better clustering characteristics. Adapt to occasions where the light intensity is constantly changing, so it can be effectively used for color image processing. It can be used to identify moving targets in complex backgrounds collected under natural conditions.

In an implementation manner of the present application, the obtaining of bearing vibration information based on the trajectory vectors of the N feature points includes:

Determine the image frame corresponding to the track vector of the N feature points;

Calculate the cross-cross power spectrum of the image frame corresponding to the trajectory vector of the N feature points based on the second formula;

performing an inverse Fourier transform on the cross-cross power spectrum to obtain a vibration wave function of the bearing;

Bearing vibration information is determined based on the vibration wave function of the bearing.

Wherein, the second formula is:

Wherein, the R is the cross-cross power spectrum, and the Fa is the Fourier transform of the image frame a, is the conjugate of the Fourier transform of the image frame a, for F _a and mode, image a and image b are one frame in the multi-frame images.

In an implementation manner of the present application, performing inverse Fourier transform on the cross power spectrum to obtain the vibration wave function of the bearing includes:

Processing the cross-cross power spectrum through a filter bank to perform filtering to obtain a cross-power spectrum after filtering out noise;

The cross power spectrum after the noise filtering is calculated based on the third formula to obtain the vibration wave function of the bearing, and the third formula is:

r=F ^-1 {R'}

Wherein, r is the vibration wave function of the bearing, R' is the cross power spectrum after the noise has been filtered out, and F ^-1 represents an inverse Fourier transform.

In an implementation manner of the present application, after converting the M image frames in the first format into M image frames in a second format, after the first format is different from the second format, the method Also includes:

Decomposing the M image frames in the second format into spatial pyramids to obtain M image frames with different spatial resolutions;

Performing time-domain bandpass filtering on the M image frames with different spatial resolutions to determine the M image frames under the target frequency band;

Enlarging the M image frames under the target frequency band to obtain the amplified M image frames under the target frequency band;

Using the enlarged M image frames in the target frequency band as new M image frames in the second format.

In an implementation manner of the present application, the M image frames in the second format are subjected to spatial pyramid decomposition to obtain M image frames with different spatial resolutions, including:

Decomposing the M image frames in the second format into M high-frequency image frames and M low-frequency image frames by time-domain wavelet decomposition;

The M high-frequency image frames and the M low-frequency image frames are decomposed into M image frames of different spatial resolutions based on wavelet decomposition coefficients, and the wavelet decomposition coefficients are determined based on a double sampling method.

In another implementation of the present application, the M image frames in the second format are subjected to spatial pyramid decomposition to obtain M image frames with different spatial resolutions, including:

The M image frames in the second format are decomposed into M image frames with different spatial resolutions by using a steerable filter.

In an implementation manner of the present application, after analyzing the bearing vibration video to obtain M image frames, the method further includes:

Perform Riesz transformation on the M image frames to obtain new M image frames;

The new M image frames are used as M image frames.

Among them, the Riesz transform is an integral transform, which generalizes the Hilbert transform from one-dimensional to multi-dimensional. Riesz transform can amplify vibrations with fast speed, low resolution and small amplitude.

Step 203: Based on the bearing vibration information, determine the abnormal location of the bearing and the cause of the abnormal bearing of the device under test.

In an implementation manner of the present application, the determination of the abnormal position of the bearing and the cause of the abnormality of the bearing of the device under test based on the vibration information of the bearing includes:

Under the second condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing inner ring and the cause of the bearing abnormality of the tested equipment is that the bearing inner ring is defective, and the second condition includes at least one of the following: The bearing vibration phase is the first vibration phase, the bearing vibration frequency is the first vibration frequency, the bearing vibration amplitude is the first vibration amplitude, the bearing vibration time domain waveform is the first preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the third condition, it is determined that the abnormal part of the bearing of the equipment under test is the inner ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the inner ring of the bearing, and the third condition includes at least one of the following Type: the bearing vibration phase is the second vibration phase, the bearing vibration frequency is the second vibration frequency, the bearing vibration amplitude is the second vibration amplitude, and the bearing vibration time domain waveform is the second preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, the first vibration phase, the first vibration frequency, the first vibration amplitude, the first preset time domain waveform, the second vibration phase, the first The second vibration frequency, the second vibration amplitude, and the second preset time-domain waveform are all determined based on artificial intelligence training prediction.

In an implementation manner of the present application, the determination of the abnormal position of the bearing and the cause of the abnormality of the bearing of the device under test based on the vibration information of the bearing includes:

Under the fourth condition, it is determined that the abnormal part of the bearing of the equipment under test is a rolling element and the cause of the abnormality of the bearing of the equipment under test is that the rolling element is defective, and the fourth condition includes at least one of the following: The bearing vibration phase is the third vibration phase, the bearing vibration frequency is the third vibration frequency, the bearing vibration amplitude is the third vibration amplitude, the bearing vibration time domain waveform is the third preset time domain waveform and the bearing Vibration time domain waveform aperiodic changes;

Under the fifth condition, it is determined that the abnormal part of the bearing of the tested equipment is the rolling element and the cause of the abnormal bearing of the tested equipment is that the rolling element has impurities, and the fifth condition includes at least one of the following: The bearing vibration phase is the fourth vibration phase, the bearing vibration frequency is the fourth vibration frequency, the bearing vibration amplitude is the fourth vibration amplitude, the bearing vibration time domain waveform is the fourth preset time domain waveform and the The time domain waveform of bearing vibration changes aperiodically.

Wherein, the rolling elements may be steel balls or others, which are not limited here.

In an implementation manner of the present application, the third vibration phase, the third vibration frequency, the third vibration amplitude, the third preset time domain waveform, the fourth vibration phase, the first The four vibration frequencies, the fourth vibration amplitude, and the fourth preset time-domain waveform are all determined based on artificial intelligence training prediction.

In an implementation manner of the present application, the determination of the abnormal position of the bearing and the cause of the abnormality of the bearing of the device under test based on the vibration information of the bearing includes:

Under the sixth condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing outer ring and the cause of the bearing abnormality of the tested equipment is that the bearing outer ring is defective, and the sixth condition includes at least one of the following: The bearing vibration phase is the fifth vibration phase, the bearing vibration frequency is the fifth vibration frequency, the bearing vibration amplitude is the fifth vibration amplitude, the bearing vibration time domain waveform is the fifth preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the seventh condition, it is determined that the abnormal part of the bearing of the equipment under test is the outer ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the outer ring of the bearing, and the seventh condition includes at least one of the following Type: the bearing vibration phase is the sixth vibration phase, the bearing vibration frequency is the sixth vibration frequency, the bearing vibration amplitude is the sixth vibration amplitude, and the bearing vibration time domain waveform is the sixth preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, the fifth vibration phase, the fifth vibration frequency, the fifth vibration amplitude, the fifth preset time domain waveform, the sixth vibration phase, the first The six vibration frequencies, the sixth vibration amplitude, and the sixth preset time-domain waveform are all determined based on artificial intelligence training and prediction.

It should be noted that, when the abnormal part of the bearing of the equipment under test is the inner ring of the bearing and/or the outer ring of the bearing, no matter whether there are impurities or defects, the abnormal part of the bearing is fixed. Therefore, its corresponding time-domain waveform changes periodically; when the abnormal part of the bearing of the equipment under test is the rolling element, no matter whether there are impurities or defects, the abnormal part of the bearing will follow the rolling element. The internal rolling of the bearing changes, so its corresponding time domain waveform is aperiodic.

In an implementation manner of the present application, after determining the abnormal bearing position of the equipment under test based on the bearing vibration information, the method further includes:

Based on the abnormal part of the bearing and the cause of the abnormal bearing, a bearing maintenance suggestion is output, and the bearing maintenance suggestion includes at least one of the following: a suggestion to replace the abnormal part of the bearing, a suggestion to clean and seal the bearing, and relubrication recommendations for solvents or lubricants, disassembly and reinstallation of the bearings in question.

In an implementation manner of the present application, the abnormal part of the bearing includes at least one of the following: the inner ring of the bearing, the rolling element, and the outer ring of the bearing, and the cause of the abnormal part of the bearing is that the abnormal part is defective, The outputting of bearing maintenance suggestions based on the abnormal position of the bearing and the cause of the bearing abnormality includes:

A suggestion to replace the abnormal part of the bearing and/or a suggestion to disassemble and reinstall the bearing is output.

In an implementation manner of the present application, the abnormal part of the bearing includes at least one of the following: the inner ring of the bearing, the rolling element, and the outer ring of the bearing, and the cause of the abnormal part of the bearing is that there are impurities in the abnormal part, The outputting of bearing maintenance suggestions based on the abnormal position of the bearing and the cause of the bearing abnormality includes:

A recommendation to clean and seal the bearing, a recommendation to relubricate or lubricate, and/or a recommendation to disassemble and reinstall the bearing is output.

As shown in FIG. 2C , FIG. 2C is an interface display diagram of a vibration detection device provided in an embodiment of the present application. When testing the bearing, the structure of the bearing can be observed through the interface, and the user can zoom in or out to observe by dragging the vertical progress bar on the left; "Y-axis" or "Z-axis" button to select different directions to observe the structure of the bearing; through the "Add test point" or "Delete test point" button to add or delete test points in the middle window; through the " Run/Pause" button to run the bearing.

As shown in FIG. 2D , FIG. 2D is an interface display diagram of another vibration detection device provided in an embodiment of the present application. After running the bearing in FIG. 2B through FIG. 2C , in FIG. 2D , the vibration information of the bearing at different test points can be observed by selecting different test points.

It can be seen that in the embodiment of the present application, when it is determined that the bearing vibration of the equipment under test is abnormal, the vibration detection device acquires the bearing vibration data of the equipment under test; the preset vibration detection algorithm is called to process the bearing vibration data to obtain the bearing vibration Information; Based on the bearing vibration information, the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test are determined without manual judgment, which improves the detection efficiency of bearing abnormalities, saves labor costs, and reduces the professional threshold of technicians.

Please refer to Fig. 3. Fig. 3 is a detection method for bearing abnormality provided by an embodiment of the present application, which is applied to a vibration detection device. The method includes:

Step 301: Under the first condition, determine that the vibration condition of the bearing of the device under test is abnormal, the first condition includes at least one of the following: the speed of the bearing of the device under test is less than or equal to the preset rate during operation, The noise of the bearing of the tested equipment during operation is greater than or equal to the preset noise, and the range of the bearing of the tested equipment during operation is greater than or equal to the preset range.

Step 302: Determine the structural parameters of the bearing of the device under test, the structural parameters include the size of the bearing and/or the material of the bearing.

Step 303: Determine the working parameters of the bearing based on the structural parameters, where the working parameters include the load of the bearing and/or the rotational speed of the bearing.

Step 304: Sending a running command to the device under test, the running command carrying the working parameter, and the running command is used to request the device under test to control the bearing to run with the working parameter.

Step 305: Taking pictures of the bearing by a camera to obtain bearing vibration data of the device under test.

Step 306: Obtain the bearing vibration data of the device under test, where the bearing vibration data is a bearing vibration video.

Step 307: Select N ₁ feature points on the outer ring of the bearing, the Select N ₂ feature points on the inner ring of the bearing, the Select N ₃ feature points on the ball body, the Wherein, the N, the N ₁ , the N ₂ and the N ₃ are all integers greater than 1, the L ₁ is the circumference of the outer ring of the bearing, and the L ₂ is the inner circumference of the bearing. The circumference of the ring, the α is the filling rate of the ball in the bearing, and the P is the rotational speed of the bearing.

Step 308: Analyze the bearing vibration video to obtain M image frames, the format of the M image frames is the first format, each image frame includes the N feature points, and the M is greater than 1 integer.

Step 309: Convert the M image frames in the first format into M image frames in a second format, where the first format is different from the second format.

Step 310: Determine the positions of the N feature points in the M image frames in the second format.

Step 311: Determine trajectory vectors of the N feature points based on the positions of the N feature points in the M image frames in the second format.

Step 312: Obtain bearing vibration information based on the trajectory vectors of the N feature points.

Step 313: Based on the bearing vibration information, determine the abnormal location of the bearing and the cause of the abnormal bearing of the device under test.

Step 314: Based on the abnormal part of the bearing and the cause of the abnormal bearing, output a bearing repair suggestion, the bearing maintenance suggestion includes at least one of the following: a suggestion to replace the abnormal part of the bearing, a suggestion to clean and seal the bearing , recommendations for relubrication or oil, recommendations for disassembly and reinstallation of the bearings in question.

It should be noted that, for the specific implementation process of this embodiment, reference may be made to the specific implementation process described in the foregoing method embodiments, which will not be described here again.

Consistent with the embodiment shown in Figure 2A and Figure 3 above, please refer to Figure 4, Figure 4 is a vibration detection device provided by the embodiment of the present application, the vibration detection device includes a processor, a memory, a communication interface and one or A plurality of programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs include instructions for performing the following steps:

When it is determined that the vibration condition of the bearing of the equipment under test is abnormal, acquiring the vibration data of the bearing of the equipment under test;

Calling a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, the bearing vibration information is used to describe the bearing vibration of the device under test;

Based on the bearing vibration information, the bearing abnormal position and bearing abnormal cause of the tested equipment are determined.

It can be seen that in the embodiment of the present application, when it is determined that the bearing vibration of the equipment under test is abnormal, the vibration detection device acquires the bearing vibration data of the equipment under test; the preset vibration detection algorithm is called to process the bearing vibration data to obtain the bearing vibration Information; Based on the bearing vibration information, the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test are determined without manual judgment, which improves the detection efficiency of bearing abnormalities, saves labor costs, and reduces the professional threshold of technicians.

In an implementation manner of the present application, in terms of determining that the bearing vibration of the equipment under test is abnormal, the above program includes instructions specifically for performing the following steps:

Under the first condition, it is determined that the vibration of the bearing of the tested equipment is abnormal, and the first condition includes at least one of the following: the speed of the bearing of the tested equipment is less than or equal to a preset speed during operation, the tested The noise of the bearing of the tested equipment during operation is greater than or equal to the preset noise, and the range of the bearing of the tested equipment during operation is greater than or equal to the preset range.

In an implementation manner of the present application, before obtaining the bearing vibration data of the device under test, the above-mentioned program includes instructions for performing the following steps:

determining the structural parameters of the bearing of the device under test, the structural parameters including the size of the bearing and/or the material of the bearing;

determining an operating parameter of the bearing based on the structural parameter, the operating parameter comprising a load of the bearing and/or a rotational speed of the bearing;

sending a running command to the device under test, the running command carrying the working parameter, and the running command is used to request the device under test to control the bearing to run with the working parameter;

The bearing is photographed by a camera to obtain bearing vibration data of the device under test.

In an implementation manner of the present application, the bearing vibration data is a bearing vibration video, and in terms of invoking a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, the above program includes instructions specifically for performing the following steps :

Select N feature points on the bearing, where N is an integer greater than 1;

Analyzing the bearing vibration video to obtain M image frames, each image frame includes the N feature points, and the M is an integer greater than 1;

Invoking a preset vibration detection algorithm to process the M image frames to obtain bearing vibration information.

In an implementation manner of the present application, the bearing includes a bearing outer ring, a bearing inner ring and a ball body, and in terms of selecting N feature points on the bearing, the above program includes specific instructions for performing the following steps:

Select N ₁ feature points on the outer ring of the bearing, the

Select N ₂ feature points on the inner ring of the bearing, the

Select N ₃ feature points on the ball body, the

Wherein, the N, the N ₁ , the N ₂ and the N ₃ are all integers greater than 1, the L ₁ is the circumference of the outer ring of the bearing, and the L ₂ is the inner circumference of the bearing. The circumference of the ring, the α is the filling rate of the ball in the bearing, and the P is the rotational speed of the bearing.

In an implementation manner of the present application, the format of the M image frames is the first format, and in terms of calling the preset vibration detection algorithm to process the M image frames to obtain the bearing vibration information, the above program includes a specific method for executing Instructions for the following steps:

converting M image frames of the first format into M image frames of a second format, the first format being different from the second format;

determining the positions of the N feature points in the M image frames in the second format;

determining trajectory vectors of the N feature points based on positions of the N feature points in the M image frames in the second format;

Bearing vibration information is obtained based on the track vectors of the N feature points.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the above program includes specific instructions for performing the following steps:

Under the second condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing inner ring and the cause of the bearing abnormality of the tested equipment is that the bearing inner ring is defective, and the second condition includes at least one of the following: The bearing vibration phase is the first vibration phase, the bearing vibration frequency is the first vibration frequency, the bearing vibration amplitude is the first vibration amplitude, the bearing vibration time domain waveform is the first preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the third condition, it is determined that the abnormal part of the bearing of the equipment under test is the inner ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the inner ring of the bearing, and the third condition includes at least one of the following Type: the bearing vibration phase is the second vibration phase, the bearing vibration frequency is the second vibration frequency, the bearing vibration amplitude is the second vibration amplitude, and the bearing vibration time domain waveform is the second preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the above program includes specific instructions for performing the following steps:

Under the fourth condition, it is determined that the abnormal part of the bearing of the equipment under test is a rolling element and the cause of the abnormality of the bearing of the equipment under test is that the rolling element is defective, and the fourth condition includes at least one of the following: The bearing vibration phase is the third vibration phase, the bearing vibration frequency is the third vibration frequency, the bearing vibration amplitude is the third vibration amplitude, the bearing vibration time domain waveform is the third preset time domain waveform and the bearing Vibration time domain waveform aperiodic changes;

Under the fifth condition, it is determined that the abnormal part of the bearing of the tested equipment is the rolling element and the cause of the abnormal bearing of the tested equipment is that the rolling element has impurities, and the fifth condition includes at least one of the following: The bearing vibration phase is the fourth vibration phase, the bearing vibration frequency is the fourth vibration frequency, the bearing vibration amplitude is the fourth vibration amplitude, the bearing vibration time domain waveform is the fourth preset time domain waveform and the The time domain waveform of bearing vibration changes aperiodically.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the above program includes specific instructions for performing the following steps:

Under the sixth condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing outer ring and the cause of the bearing abnormality of the tested equipment is that the bearing outer ring is defective, and the sixth condition includes at least one of the following: The bearing vibration phase is the fifth vibration phase, the bearing vibration frequency is the fifth vibration frequency, the bearing vibration amplitude is the fifth vibration amplitude, the bearing vibration time domain waveform is the fifth preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the seventh condition, it is determined that the abnormal part of the bearing of the equipment under test is the outer ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the outer ring of the bearing, and the seventh condition includes at least one of the following Type: the bearing vibration phase is the sixth vibration phase, the bearing vibration frequency is the sixth vibration frequency, the bearing vibration amplitude is the sixth vibration amplitude, and the bearing vibration time domain waveform is the sixth preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, after the abnormal part of the bearing of the equipment under test is determined based on the bearing vibration information, the above program includes an instruction for performing the following steps:

Based on the abnormal part of the bearing and the cause of the abnormal bearing, a bearing maintenance suggestion is output, and the bearing maintenance suggestion includes at least one of the following: a suggestion to replace the abnormal part of the bearing, a suggestion to clean and seal the bearing, and relubrication recommendations for solvents or lubricants, disassembly and reinstallation of the bearings in question.

It should be noted that, for the specific implementation process of this embodiment, reference may be made to the specific implementation process described in the foregoing method embodiments, which will not be described here again.

The embodiment of the present application may divide the electronic device into functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated units can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

The following are the device embodiments of the present application, and the device embodiments of the present application are used to implement the methods implemented by the method embodiments of the present application. Please refer to Fig. 5. Fig. 5 is a detection device for bearing abnormality provided by an embodiment of the present application, which is applied to a vibration detection device. The detection device for abnormal bearing vibration includes:

An acquisition unit 501, configured to acquire bearing vibration data of the tested equipment when it is determined that the bearing vibration of the tested equipment is abnormal;

The processing unit 502 is configured to call a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, and the bearing vibration information is used to describe the bearing vibration of the device under test;

The determining unit 503 is configured to determine an abnormal position of the bearing of the device under test and a cause of the abnormal bearing based on the bearing vibration information.

It can be seen that in the embodiment of the present application, when it is determined that the bearing vibration of the equipment under test is abnormal, the vibration detection device acquires the bearing vibration data of the equipment under test; the preset vibration detection algorithm is called to process the bearing vibration data to obtain the bearing vibration Information; Based on the bearing vibration information, the abnormal position of the bearing and the cause of the bearing abnormality of the equipment under test are determined without manual judgment, which improves the detection efficiency of bearing abnormalities, saves labor costs, and reduces the professional threshold of technicians.

In an implementation manner of the present application, in terms of determining that the bearing vibration of the device under test is abnormal, the determining unit 503 is further configured to:

Under the first condition, it is determined that the vibration of the bearing of the tested equipment is abnormal, and the first condition includes at least one of the following: the speed of the bearing of the tested equipment is less than or equal to a preset speed during operation, the tested The noise of the bearing of the tested equipment during operation is greater than or equal to the preset noise, and the range of the bearing of the tested equipment during operation is greater than or equal to the preset range.

In an implementation manner of the present application, before obtaining the bearing vibration data of the device under test, the method further includes a communication unit 504, wherein:

The determination unit 503 is also used to determine the structural parameters of the bearing of the device under test, the structural parameters include the size of the bearing and/or the material of the bearing; operating parameters, the operating parameters including the load of the bearing and/or the rotational speed of the bearing;

The communication unit 504 is configured to send a running command to the device under test, the running command carries the working parameter, and the running command is used to request the device under test to control the bearing to run with the working parameter ;

The determining unit 503 is further configured to photograph the bearing through a camera to obtain bearing vibration data of the device under test.

In an implementation manner of the present application, the bearing vibration data is a bearing vibration video, and in terms of calling a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, the processing unit 502 is specifically used for:

Select N feature points on the bearing, where N is an integer greater than 1;

Analyzing the bearing vibration video to obtain M image frames, each image frame includes the N feature points, and the M is an integer greater than 1;

Invoking a preset vibration detection algorithm to process the M image frames to obtain bearing vibration information.

In an implementation manner of the present application, the bearing includes a bearing outer ring, a bearing inner ring and a ball body, and in terms of selecting N feature points on the bearing, the processing unit 502 is specifically used for:

Select N ₁ feature points on the outer ring of the bearing, the

Select N ₂ feature points on the inner ring of the bearing, the

Select N ₃ feature points on the ball body, the

Wherein, the N, the N ₁ , the N ₂ and the N ₃ are all integers greater than 1, the L ₁ is the circumference of the outer ring of the bearing, and the L ₂ is the inner circumference of the bearing. The circumference of the ring, the α is the filling rate of the ball in the bearing, and the P is the rotational speed of the bearing.

In an implementation manner of the present application, the format of the M image frames is the first format, and in calling the preset vibration detection algorithm to process the M image frames to obtain bearing vibration information, the processing unit 502 specifically uses At:

converting M image frames of the first format into M image frames of a second format, the first format being different from the second format;

determining the positions of the N feature points in the M image frames in the second format;

determining trajectory vectors of the N feature points based on positions of the N feature points in the M image frames in the second format;

Bearing vibration information is obtained based on the track vectors of the N feature points.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the determining unit 503 is specifically used for:

Under the second condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing inner ring and the cause of the bearing abnormality of the tested equipment is that the bearing inner ring is defective, and the second condition includes at least one of the following: The bearing vibration phase is the first vibration phase, the bearing vibration frequency is the first vibration frequency, the bearing vibration amplitude is the first vibration amplitude, the bearing vibration time domain waveform is the first preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the third condition, it is determined that the abnormal part of the bearing of the equipment under test is the inner ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the inner ring of the bearing, and the third condition includes at least one of the following Type: the bearing vibration phase is the second vibration phase, the bearing vibration frequency is the second vibration frequency, the bearing vibration amplitude is the second vibration amplitude, and the bearing vibration time domain waveform is the second preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the determining unit 503 is specifically used for:

Under the fourth condition, it is determined that the abnormal part of the bearing of the equipment under test is a rolling element and the cause of the abnormality of the bearing of the equipment under test is that the rolling element is defective, and the fourth condition includes at least one of the following: The bearing vibration phase is the third vibration phase, the bearing vibration frequency is the third vibration frequency, the bearing vibration amplitude is the third vibration amplitude, the bearing vibration time domain waveform is the third preset time domain waveform and the bearing Vibration time domain waveform aperiodic changes;

Under the fifth condition, it is determined that the abnormal part of the bearing of the tested equipment is the rolling element and the cause of the abnormal bearing of the tested equipment is that the rolling element has impurities, and the fifth condition includes at least one of the following: The bearing vibration phase is the fourth vibration phase, the bearing vibration frequency is the fourth vibration frequency, the bearing vibration amplitude is the fourth vibration amplitude, the bearing vibration time domain waveform is the fourth preset time domain waveform and the The time domain waveform of bearing vibration changes aperiodically.

In an implementation manner of the present application, the bearing vibration information includes at least one of the following: bearing vibration phase, bearing vibration frequency, bearing vibration amplitude, and bearing vibration time domain waveform. In terms of the abnormal position of the bearing of the equipment under test and the cause of the bearing abnormality, the determining unit 503 is specifically used for:

Under the sixth condition, it is determined that the abnormal part of the bearing of the tested equipment is the bearing outer ring and the cause of the bearing abnormality of the tested equipment is that the bearing outer ring is defective, and the sixth condition includes at least one of the following: The bearing vibration phase is the fifth vibration phase, the bearing vibration frequency is the fifth vibration frequency, the bearing vibration amplitude is the fifth vibration amplitude, the bearing vibration time domain waveform is the fifth preset time domain waveform and the Periodic variation of the bearing vibration time domain waveform;

Under the seventh condition, it is determined that the abnormal part of the bearing of the equipment under test is the outer ring of the bearing and the cause of the abnormality of the bearing of the equipment under test is that there are impurities in the outer ring of the bearing, and the seventh condition includes at least one of the following Type: the bearing vibration phase is the sixth vibration phase, the bearing vibration frequency is the sixth vibration frequency, the bearing vibration amplitude is the sixth vibration amplitude, and the bearing vibration time domain waveform is the sixth preset time domain waveform And the vibration time domain waveform of the bearing changes periodically.

In an implementation manner of the present application, after the bearing abnormality position of the equipment under test is determined based on the bearing vibration information, the detection device for bearing vibration abnormality further includes an output unit 505, wherein:

The output unit 505 is configured to output a bearing maintenance suggestion based on the abnormal part of the bearing and the cause of the bearing abnormality, and the maintenance suggestion for the bearing includes at least one of the following: a suggestion to replace the abnormal part of the bearing, and perform maintenance on the bearing Recommendations for cleaning and sealing, for relubrication or oil, for disassembly and reinstallation of the bearing in question.

It should be noted that the acquisition unit 501 , the processing unit 502 , the determination unit 503 and the output unit 505 may be realized by a processing unit, and the communication unit 504 may be realized by a communication interface.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any method described in the above method embodiments , the above-mentioned computer includes electronic equipment.

An embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute any one of the methods described in the above method embodiments. Some or all steps of the method. The computer program product may be a software installation package, and the computer includes electronic equipment.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the above-mentioned methods in various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above, and specific examples have been used in this paper to illustrate the principles and implementation methods of the present application. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present application; meanwhile, for Those skilled in the art will have changes in specific implementation methods and application scopes based on the ideas of the present application. In summary, the contents of this specification should not be construed as limiting the present application.

Claims (10)

1. A method for detecting bearing abnormality, which is applied to a vibration detecting apparatus, the method comprising:

when the bearing vibration condition of the tested equipment is determined to be abnormal, obtaining bearing vibration data of the tested equipment;

calling a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, wherein the bearing vibration information is used for describing the bearing vibration of the tested equipment;

and determining the abnormal part and the abnormal reason of the bearing of the tested device based on the bearing vibration information.

2. The method of claim 1, wherein said determining that the bearing vibration condition of the device under test is abnormal comprises:

determining the bearing vibration condition of the device to be tested as abnormal under a first condition, wherein the first condition comprises at least one of the following conditions: the speed of the bearing of the equipment to be tested in operation is less than or equal to a preset speed, the noise of the bearing of the equipment to be tested in operation is greater than or equal to a preset noise, and the range of the bearing of the equipment to be tested in operation is greater than or equal to a preset range.

3. The method of claim 1 or 2, wherein prior to said obtaining bearing vibration data for said device under test, said method further comprises:

determining structural parameters of a bearing of the tested device, wherein the structural parameters comprise the size and/or the material of the bearing;

determining an operating parameter of the bearing based on the structural parameter, the operating parameter comprising a load of the bearing and/or a rotational speed of the bearing;

sending an operation command to the tested device, wherein the operation command carries the working parameters, and the operation command is used for requesting the tested device to control the bearing to operate according to the working parameters;

and shooting the bearing through a camera to obtain bearing vibration data of the device to be tested.

4. The method according to any one of claims 1 to 3, wherein the bearing vibration data is a bearing vibration video, and the invoking a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information comprises:

selecting N characteristic points on the bearing, wherein N is an integer greater than 1;

analyzing the bearing vibration video to obtain M image frames, wherein each image frame comprises the N characteristic points, and M is an integer greater than 1;

and calling a preset vibration detection algorithm to process the M image frames to obtain bearing vibration information.

5. The method of claim 4, wherein the bearing comprises a bearing outer ring, a bearing inner ring and ball bodies, and wherein selecting N characteristic points on the bearing comprises:

selecting N on the bearing outer ring₁A feature point of

Selecting N on the bearing inner ring₂A feature point of

Selecting N on the ball body₃A feature point of

Wherein, the N and the N₁The N₂And said N₃Are all integers greater than 1, L₁Is the circumference of the bearing outer ring, L₂The circumference of the bearing inner ring is defined, alpha is the filling rate of the ball body in the bearing, and P is the rotating speed of the bearing.

6. The method according to claim 4 or 5, wherein the format of the M image frames is a first format, and the invoking the preset vibration detection algorithm to process the M image frames to obtain the bearing vibration information comprises:

converting the M image frames of the first format to M image frames of a second format, the first format being different from the second format;

determining the positions of the N feature points in the M image frames of the second format;

determining trajectory vectors for the N feature points based on their positions in the M image frames of the second format;

and obtaining bearing vibration information based on the track vectors of the N characteristic points.

7. The method according to any of claims 1-6, characterized in that after said determining bearing anomalies of said device under test based on said bearing vibration information, said method further comprises:

outputting a bearing repair recommendation based on the bearing abnormal part and the bearing abnormal reason, wherein the bearing repair recommendation comprises at least one of the following: the proposal of replacing the abnormal part of the bearing, the proposal of cleaning and sealing the bearing, the proposal of replenishing lubricant or lubricating oil, and the proposal of disassembling and reassembling the bearing.

8. A bearing abnormality detection device, which is applied to a vibration detection device, the bearing vibration abnormality detection device comprising:

the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring bearing vibration data of the equipment to be tested when the bearing vibration condition of the equipment to be tested is determined to be abnormal;

the processing unit is used for calling a preset vibration detection algorithm to process the bearing vibration data to obtain bearing vibration information, and the bearing vibration information is used for describing the bearing vibration of the tested equipment;

and the determining unit is used for determining the bearing abnormal part and the bearing abnormal reason of the tested device based on the bearing vibration information.

9. A vibration detection apparatus comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method of any one of claims 1 to 7.