CN117170345A - Controller-level real-time fault diagnosis method and system - Google Patents

Abstract

The invention discloses a controller-level real-time fault diagnosis method and a system, which are used for fault diagnosis of wind turbine generator controller-level equipment, wherein a monitoring device is arranged on control equipment and used for detecting operation parameters and ambient wind speed; then the central control end carries out abnormal parameter rule configuration according to the current environmental wind speed and the historical diagnosis data, and generates an instruction level monitoring program; the monitoring equipment acquires various operation parameter data, classifies the operation parameter data and transmits the operation parameter data to the monitoring program for judgment; then, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to process; the processing result generates a feedback signal, and the central control end receives the signal and initializes a monitoring program; the invention realizes real-time monitoring of the controller level of the wind turbine generator, independently and abnormally analyzes the output voltage of the converter by combining the relationship between the abnormal analysis wind speed and the output power of the generator, improves the accuracy of the monitoring process, reduces the data processing capacity, and increases the safety and the efficiency of the monitoring process.

Description

Controller-level real-time fault diagnosis method and system

Technical Field

The invention relates to the technical field of wind power generation, in particular to a controller-level real-time fault diagnosis method and system.

Background

The wind turbine generator controller level refers to a control system for controlling the operation and power generation of the whole wind turbine generator, and mainly comprises the following components: fan control system: the wind turbine generator system is responsible for controlling the operation and adjustment of fans (including blades, shafts, generators and the like) in the wind turbine generator system so as to maintain optimal wind energy capturing and conversion efficiency; the control system mainly comprises functions of fan start-stop control, blade angle adjustment, rotation speed control, fan brake and the like; a generator control system: controlling the operation of a generator in the wind turbine generator, and regulating the output power, frequency and voltage of the generator to ensure stable power supply of a power grid; the generator control system generally comprises functions of generator starting control, power factor control, voltage control and the like; converter control system: converting alternating current generated by a generator in the wind turbine generator into alternating current required by an adaptive power grid; the converter control system is responsible for controlling the operation and adjustment of the converter so as to maintain the quality and stability of the output current;

in the prior art, diagnosis of the controller level faults of the wind turbine generator is realized by comparing the ideal parameters of the control level with the corresponding actual parameters of the wind turbine generator, however, in the actual application process, the acquisition equipment transmits the large quantity of parameter data, which is very easy to cause paralysis of an analysis system; the application provides a controller-level real-time fault diagnosis method and system capable of analyzing output voltage of a converter independently through the association between wind speed and output power of a generator in an abnormal manner, which are used for solving the problem of huge parameter data transmission quantity.

Disclosure of Invention

In order to solve the problems, the invention provides the following technical scheme:

a controller-level real-time fault diagnosis method is used for performing fault diagnosis on wind turbine generator controller-level equipment and comprises the following steps:

firstly, setting monitoring devices for detecting operation parameters and ambient wind speed in real time on each control device of a wind turbine control level;

step two, carrying out abnormal parameter rule configuration in advance according to the current environmental wind speed and historical diagnosis data through a central control end, and generating an instruction level monitoring program according to configuration results;

step three, acquiring various operation parameter data detected by the monitoring equipment, and classifying according to the categories of the operation parameter data; transmitting the classified operation parameter data to the monitoring program for judgment;

step four, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to arrive at the scene for processing;

step five, acquiring a fault processing result in real time, and generating a feedback signal according to the processing result; and the central control end receives the feedback signal, initializes the monitoring program, stores the operation parameter data, the fault analysis result and the fault processing scheme which participate in the diagnosis in the form of historical diagnosis data, and repeats the first to fourth steps.

Preferably, in the above method for diagnosing a real-time fault at a controller level, the monitoring device for detecting an operation parameter and an ambient wind speed in real time is disposed on each control device at a control level of a wind turbine generator, and includes:

a wind speed monitoring device is arranged around the fan to detect wind speed data near the fan in real time;

setting an electric power monitoring device on generator control equipment, and detecting the operation parameters of a generator in real time; the operation parameter of the generator is the output power of the generator;

a fan monitoring device is arranged on fan control equipment, and the operation parameters of a fan are detected in real time; the operation parameters of the fan comprise an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

a current transformation monitoring device is arranged on the current transformer control equipment, and the operation parameters of the current transformer are detected in real time; the operating parameter of the converter is the output voltage of the converter.

Preferably, in the above-mentioned controller-level real-time fault diagnosis method, the step of performing, by the central control terminal, abnormal parameter rule configuration in advance according to the current ambient wind speed and the historical diagnosis data, and generating the instruction-level monitoring program according to the configuration result includes:

the wind speed configuration process comprises the steps of presetting a first wind speed range V1, a second wind speed range V2 and a third wind speed range V3, wherein V1 is more than or equal to 3m/s, V2 is more than or equal to 2V 3 is more than or equal to 25m/s; matching the environment wind speed V with each preset wind speed range to obtain an estimated wind speed range;

A generator configuration process of calculating an adjustment coefficient K based on a rule between wind speed data and the generator output power in the historical diagnostic data; the calculation process of the regulating coefficient K is K=V/P, wherein V is wind speed data, and P is generator output power; the adjusting coefficient K comprises a first adjusting coefficient K1, a second adjusting coefficient K2 and a third adjusting coefficient K3; the first regulating coefficient K1 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V1; the second regulating coefficient K2 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V2; the third regulating coefficient K3 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V3;

the fan state configuration process is used for judging an angle difference value X based on an ideal blade angle and an actual blade angle; presetting a first angle difference range X1, a second angle difference range X2 and a third angle difference range X3, wherein X1 is less than X2 is less than X3; presetting a first angle normal alarm R1, a second angle abnormal alarm R2 and a third angle abnormal alarm R3, and arranging the alarms into R1< R2< R3 according to the importance degree of the alarms; matching the angle difference value X with each angle difference range to generate a corresponding angle alarm;

Judging a rotational speed difference value Y based on the ideal rotational speed and the actual rotational speed; presetting a first rotating speed difference range Y1, a second rotating speed difference range Y2 and a third rotating speed difference range Y3, wherein Y1 is less than Y2 is less than Y3; presetting a first rotating speed normal alarm D1, a second rotating speed abnormal alarm D2 and a third rotating speed abnormal alarm D3, and arranging the alarms into D1< D2< D3 according to the importance degree of the alarms; matching the rotation speed difference value Y with each rotation speed difference range to generate a corresponding rotation speed alarm;

the method comprises the following steps of (1) a converter configuration process, wherein the converter presets a normal voltage range U1 of the converter; presetting a low voltage alarm E1, a normal voltage alarm E2 and a high voltage alarm E3; determining a preset voltage warning according to the relation between the output voltage U of the current transformer and the normal voltage range of the preset current transformer;

and obtaining the result of the configuration process, and generating an instruction level monitoring program corresponding to the moment.

Preferably, in the above-mentioned controller-level real-time fault diagnosis method, each item of operation parameter data detected by the monitoring device is obtained and classified according to a category thereof; transmitting the classified operation parameter data to the monitoring program to judge, wherein the judgment comprises the judgment of generator control equipment, the judgment of fan control equipment and the judgment of converter control equipment; the generator control apparatus determines that it includes:

Step one, acquiring current wind speed data V0, and matching the current wind speed data V0 with each preset wind speed range to acquire an estimated wind speed range;

when V0 epsilon V1, selecting a first wind speed range V1 as an estimated wind speed range;

when V0 epsilon V2, selecting a second wind speed range V2 as an estimated wind speed range;

when V0 epsilon V3, selecting a third wind speed range V3 as an estimated wind speed range;

when V0<3m/s or V0>25m/s, the matching fails, and the judgment of the generator control equipment is not carried out;

step two, selecting a corresponding adjusting coefficient Ki, i=1, 2 and 3 according to the estimated wind speed range Vi;

step three, obtaining the current output power P0 of the generator, and reversely calculating wind speed deduction data Vt through the current output power P0 and an adjusting coefficient Ki;

step four, comparing the wind speed deduction data Vt with the estimated wind speed range Vi to generate corresponding fault alarm information;

when vt=vi, no generator failure warning information is generated;

when Vt is not equal to Vi, generator fault alarm information is generated.

Preferably, in the above-mentioned controller-level real-time fault diagnosis method, the fan control apparatus determines that the fan control apparatus includes:

step one, acquiring a generator fault alarm instruction, and acquiring an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after the generator fault alarm instruction is received;

Step two, calculating a current angle difference value X0=Xe-Xt; wherein X0 is the current angle difference value, xe is the current ideal blade angle, and Xt is the current actual blade angle;

calculating a current rotation speed difference value Y0=Ye-Yt; wherein Y0 is the current rotation speed difference value, ye is the current ideal rotation speed, and Yt is the current actual rotation speed;

step three, matching the current angle difference value X0 and the current rotating speed difference value Y0 with a corresponding preset angle range and a corresponding preset rotating speed range respectively, and generating corresponding fault alarm information according to a matching result;

when X0 epsilon X1, generating fault alarm information as a first angle normal alarm R1;

when X0 epsilon X2, generating fault alarm information as a second angle abnormal alarm R2;

when X0 epsilon X3, generating fault alarm information as a third angle abnormal alarm R3;

when Y0 epsilon Y1, generating fault alarm information as a first rotational speed normal alarm D1;

when Y0 epsilon Y2, generating fault alarm information as a second rotating speed abnormal alarm D2;

when Y0 epsilon Y3, generating fault alarm information as a third rotating speed abnormal alarm D3.

Preferably, in the above-mentioned controller-level real-time fault diagnosis method, the converter control device determining includes:

Step one, obtaining the current converter output voltage U0, matching the current converter output voltage U0 with a preset normal voltage range U1 of the converter, and generating corresponding fault alarm information according to a matching result;

when U0< U1, generating fault alarm information as a low voltage alarm E1;

when u0=u1, generating fault alarm information as a normal voltage alarm E2;

when U0> U1, the fault alert information is generated as a high voltage alert E3.

Preferably, in the controller-level real-time fault diagnosis method, the performing independent anomaly analysis and joint anomaly analysis on the determination result, and notifying personnel of presence processing includes:

the combined anomaly analysis process is to summarize fault alarm instructions generated in a generator control equipment judging process and a fan control equipment judging process;

when the generator fault alarm information is not generated, generating a normal operation instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1 and a first rotation speed normal alarm D1, generating a generator fault alarm instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a rotating speed abnormal alarm instruction;

When all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3 and a first rotation speed normal alarm D1, generating a blade angle abnormal alarm instruction;

when all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a blade angle abnormal alarm instruction and a rotating speed abnormal alarm instruction;

the independent anomaly analysis process is used for acquiring fault alarm information generated in the judging process of the converter control equipment and generating a fault alarm instruction according to the information;

when the fault alarm information is a low-voltage alarm E1, generating a low-voltage abnormal alarm instruction;

when the fault alarm information is a normal voltage alarm E2, an alarm instruction is not generated;

when the fault alarm information is a high-voltage alarm E3, a high-voltage abnormal alarm instruction is generated;

and summarizing the final analysis results of the joint judgment analysis and the independent judgment analysis, sending the summarized instruction to alarm equipment, and transmitting fault information to maintenance personnel through the alarm equipment.

A controller-level real-time fault diagnosis system, comprising:

The monitoring module is connected with each control device of the wind turbine generator control level and is used for detecting the ambient wind speed and the operation parameters of each control device in real time;

the central control module is connected with the monitoring module; the central control module analyzes the monitored ambient wind speed and the running parameters, acquires fault information of abnormal equipment and generates an alarm instruction;

and the feedback alarm module is connected with the central control module and is used for acquiring an alarm instruction, notifying maintenance personnel to process according to the alarm instruction and feeding back a processing result in real time.

Preferably, in the above-mentioned controller-level real-time fault diagnosis system, the monitoring module includes:

the wind speed detection unit is arranged around the wind turbine generator and is used for detecting the environmental wind speed data of the wind turbine generator;

a generator detection unit connected to the generator control device for detecting the generator output power;

the fan operation detection unit is connected with the fan control equipment and used for detecting an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

and the converter detection unit is connected with the converter control equipment and is used for detecting the output voltage of the converter.

Preferably, in the above-mentioned controller-level real-time fault diagnosis system, the central control module includes:

the database is connected with the wind speed detection unit, the generator detection unit, the fan operation detection unit and the converter detection unit and is used for storing environmental wind speed data, output power, ideal blade angles, actual blade angles, ideal rotating speed, actual rotating speed and converter output voltage at all moments in a classified mode;

the wind speed analysis unit is connected with the database and used for acquiring current environment wind speed data; the wind speed analysis unit is used for presetting a wind speed range, matching current environment wind speed data with the preset wind speed range, and obtaining an estimated wind speed range according to a matching result;

a generator analysis unit connected to the database and the wind speed analysis unit; the generator analysis unit acquires historical wind speed data, a historical estimated wind speed range and historical generator output power, and calculates adjustment coefficients between wind speed and generator output power in different estimated wind speed ranges; calculating wind speed deduction data according to the corresponding adjustment coefficient of the current estimated wind speed range and the current output power of the generator, comparing the wind speed deduction data with the estimated wind speed range, and generating a generator alarm instruction according to a comparison result;

The fan analysis unit is connected with the generator analysis unit and the database; the fan analysis unit acquires a generator alarm instruction, acquires an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after receiving the generator fault alarm instruction, and calculates an angle difference between the ideal blade angle and the actual blade angle and a rotating speed difference between the ideal rotating speed and the actual rotating speed; the fan analysis unit is used for presetting a difference range, comparing the angle difference and the rotating speed difference with the preset difference range respectively, and generating a fan alarm instruction according to a comparison result;

a converter analysis unit connected to the database; the converter analysis unit obtains the current converter output voltage and presets a normal voltage range of the converter; comparing the two, and generating a converter alarm instruction according to a comparison result;

the combination unit is connected with the generator analysis unit and the fan analysis unit, and is used for summarizing and combining according to the received instructions to generate new fault alarm instructions;

the feedback alarm module comprises:

the instruction analysis unit is connected with the combination unit and the converter analysis unit and is used for receiving the fault alarm instruction and the converter alarm instruction and analyzing and restoring alarm information;

The alarm unit is connected with the instruction analysis unit and used for sending alarm information to maintenance personnel;

and the feedback unit is connected with the database and the instruction analysis unit, and is used for manually erasing various alarm instructions after overhauling by an overhauling personnel to generate a feedback signal and controlling the database to store the operation parameter data, the fault analysis result and the fault processing scheme which participate in the diagnosis in the form of historical diagnosis data.

Compared with the prior art, the application has the beneficial effects that:

the application provides a controller-level real-time fault diagnosis method and a system; the fault diagnosis method is used for fault diagnosis of the wind turbine generator controller-level equipment; firstly, setting a monitoring device on control equipment for detecting operation parameters and ambient wind speed; then the central control end carries out abnormal parameter rule configuration according to the current environmental wind speed and the historical diagnosis data, and generates an instruction level monitoring program; the monitoring equipment acquires various operation parameter data, classifies the operation parameter data and transmits the operation parameter data to the monitoring program for judgment; then, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to process; the processing result generates a feedback signal, and the central control end receives the signal and initializes a monitoring program; the application realizes real-time monitoring of the controller level of the wind turbine generator, independently and abnormally analyzes the output voltage of the converter by combining the relationship between the abnormal analysis wind speed and the output power of the generator, improves the accuracy of the monitoring process, reduces the data processing capacity, and increases the safety and the efficiency of the monitoring process.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of the method of the present invention;

fig. 2 is a flow chart of the system of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

In the present invention, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the term "plurality" means two or more, unless expressly defined otherwise. The terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; "coupled" may be directly coupled or indirectly coupled through intermediaries. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.

In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "rear", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or units referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention.

In the description of the present specification, the terms "one embodiment," "some embodiments," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

In one embodiment, referring to fig. 1, a method for diagnosing a fault of a controller-level device of a wind turbine generator includes:

firstly, setting monitoring devices for detecting operation parameters and ambient wind speed in real time on each control device of a wind turbine control level;

step two, carrying out abnormal parameter rule configuration in advance according to the current environmental wind speed and historical diagnosis data through a central control end, and generating an instruction level monitoring program according to configuration results;

step three, acquiring various operation parameter data detected by monitoring equipment, and classifying according to the categories of the operation parameter data; transmitting the classified operation parameter data to a monitoring program for judgment;

Step four, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to arrive at the scene for processing;

step five, acquiring a fault processing result in real time, and generating a feedback signal according to the processing result; the central control end receives the feedback signal, initializes the monitoring program, stores the operation parameter data, the fault analysis result and the fault processing scheme which participate in the diagnosis in the form of historical diagnosis data, and repeats the first to fourth steps.

The principle of the above embodiment is:

the monitoring device is arranged on the control equipment, and various operation parameters and environmental wind speed data are collected, so that the real-time monitoring of the wind turbine generator is realized. This may help to discover potential faults or anomalies early; and the central control end generates an instruction level monitoring program according to the current environmental wind speed and the historical diagnosis data and carries out abnormal parameter rule configuration. Thus, personalized fault diagnosis and monitoring can be carried out according to specific conditions; the monitoring equipment transmits the collected operation parameter data to the monitoring program for judgment; the monitoring program performs independent exception analysis and joint exception analysis, judges whether an exception condition exists or not by comparing real-time data with preset rules, and performs specific fault diagnosis; once the monitor detects an abnormal condition, it will notify the relevant personnel to process. The processing result generates a feedback signal, and the central control end receives the signal and initializes the monitoring program so as to carry out fault diagnosis of the next round.

The beneficial effects of the embodiment are as follows: the reliability and stability of the wind turbine generator in the running process are improved; the timely fault diagnosis and treatment can reduce the downtime of the equipment and improve the wind power generation capacity and the benefit.

In order to further optimize the above scheme, referring to fig. 1, a real-time fault diagnosis method for a controller level, a monitoring device for detecting an operation parameter and an ambient wind speed in real time is set on each control device of a wind turbine control level, including:

a wind speed monitoring device is arranged around the fan to detect wind speed data near the fan in real time;

setting an electric power monitoring device on generator control equipment, and detecting the operation parameters of a generator in real time; the operation parameter of the generator is the output power of the generator;

a fan monitoring device is arranged on fan control equipment, and the operation parameters of a fan are detected in real time; the operation parameters of the fan comprise an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

a current transformation monitoring device is arranged on the current transformer control equipment, and the operation parameters of the current transformer are detected in real time; the operating parameter of the current transformer is the output voltage of the current transformer.

The process of detecting parameters by the wind speed monitoring device, the electric power monitoring device, the fan monitoring device and the variable flow monitoring device is the prior art means; the embodiment realizes the comprehensive monitoring of important equipment at the level of the wind turbine generator controller.

In order to further optimize the above scheme, referring to fig. 1, a controller-level real-time fault diagnosis method, by performing, by a central control terminal, abnormal parameter rule configuration in advance according to current environmental wind speed and historical diagnosis data, and generating an instruction-level monitoring program according to a configuration result includes:

the wind speed configuration process comprises the steps of presetting a first wind speed range V1, a second wind speed range V2 and a third wind speed range V3, wherein V1 is more than or equal to 3m/s, V2 is more than or equal to 2V 3 is more than or equal to 25m/s; matching the environment wind speed V with each preset wind speed range to obtain an estimated wind speed range;

the generator configuration process is used for calculating an adjusting coefficient K based on a rule between wind speed data in historical diagnosis data and generator output power; the calculation process of the regulating coefficient K is K=V/P, wherein V is wind speed data, and P is generator output power; the adjusting coefficient K comprises a first adjusting coefficient K1, a second adjusting coefficient K2 and a third adjusting coefficient K3; the first regulating coefficient K1 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V1; the second regulating coefficient K2 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V2; the third regulating coefficient K3 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=v3;

The fan state configuration process is used for judging an angle difference value X based on an ideal blade angle and an actual blade angle; presetting a first angle difference range X1, a second angle difference range X2 and a third angle difference range X3, wherein X1 is less than X2 is less than X3; presetting a first angle normal alarm R1, a second angle abnormal alarm R2 and a third angle abnormal alarm R3, and arranging the alarms into R1< R2< R3 according to the importance degree of the alarms; matching the angle difference value X with each angle difference range to generate a corresponding angle alarm;

judging a rotational speed difference value Y based on the ideal rotational speed and the actual rotational speed; presetting a first rotating speed difference range Y1, a second rotating speed difference range Y2 and a third rotating speed difference range Y3, wherein Y1 is less than Y2 is less than Y3; presetting a first rotating speed normal alarm D1, a second rotating speed abnormal alarm D2 and a third rotating speed abnormal alarm D3, and arranging the alarms into D1< D2< D3 according to the importance degree of the alarms; matching the rotation speed difference value Y with each rotation speed difference range to generate a corresponding rotation speed alarm;

the method comprises the following steps of (1) a converter configuration process, wherein the converter presets a normal voltage range U1 of the converter; presetting a low voltage alarm E1, a normal voltage alarm E2 and a high voltage alarm E3; determining a preset voltage warning according to the relation between the output voltage U of the current transformer and the normal voltage range of the preset current transformer;

And obtaining the result of the configuration process, and generating an instruction level monitoring program corresponding to the moment.

It should be noted that, 3m/s and 25m/s where 3m/s is less than or equal to V1< V2< V3 is less than or equal to 25m/s are the effective wind speeds of the wind turbine generator, and the specific values can be changed according to actual conditions; the calculation of the regulating coefficient K is deduced through substituting a plurality of historical data into a formula K=V/P, and the regulating coefficient of the generator with respect to wind speed and output power can be adopted for substitution; obtaining a final result in an average mode by each adjustment coefficient in the same estimated wind speed range; the invention realizes the advanced configuration of the program, configures the wind speed, the output frequency of the generator, the output voltage of the converter and the running action of the fan as parameters, casts a frame in advance in the data analysis process, and increases the fault diagnosis efficiency.

In order to further optimize the above scheme, please refer to fig. 1, a controller-level real-time fault diagnosis method acquires various operation parameter data detected by a monitoring device and classifies the operation parameter data according to the category thereof; transmitting the classified operation parameter data to a monitoring program for judgment, wherein the judgment comprises judgment of generator control equipment, judgment of fan control equipment and judgment of converter control equipment; the generator control apparatus determines that it includes:

Step one, acquiring current wind speed data V0, and matching the current wind speed data V0 with each preset wind speed range to acquire an estimated wind speed range;

when V0 epsilon V1, selecting a first wind speed range V1 as an estimated wind speed range;

when V0 epsilon V2, selecting a second wind speed range V2 as an estimated wind speed range;

when V0 epsilon V3, selecting a third wind speed range V3 as an estimated wind speed range;

when V0<3m/s or V0>25m/s, the matching fails, and the judgment of the generator control equipment is not carried out;

step two, selecting a corresponding adjusting coefficient Ki, i=1, 2 and 3 according to the estimated wind speed range Vi;

step three, obtaining the current output power P0 of the generator, and reversely calculating wind speed deduction data Vt through the current output power P0 and an adjusting coefficient Ki;

step four, comparing the wind speed deduction data Vt with the estimated wind speed range Vi to generate corresponding fault alarm information;

when vt=vi, no generator failure warning information is generated;

when Vt is not equal to Vi, generating generator fault alarm information;

the fan control apparatus determines to include:

step one, acquiring a generator fault alarm instruction, and acquiring an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after the generator fault alarm instruction is received;

Step two, calculating a current angle difference value X0=Xe-Xt; wherein X0 is the current angle difference value, xe is the current ideal blade angle, and Xt is the current actual blade angle;

calculating a current rotation speed difference value Y0=Ye-Yt; wherein Y0 is the current rotation speed difference value, ye is the current ideal rotation speed, and Yt is the current actual rotation speed;

step three, matching the current angle difference value X0 and the current rotating speed difference value Y0 with a corresponding preset angle range and a corresponding preset rotating speed range respectively, and generating corresponding fault alarm information according to a matching result;

when X0 epsilon X1, generating fault alarm information as a first angle normal alarm R1;

when X0 epsilon X2, generating fault alarm information as a second angle abnormal alarm R2;

when X0 epsilon X3, generating fault alarm information as a third angle abnormal alarm R3;

when Y0 epsilon Y1, generating fault alarm information as a first rotational speed normal alarm D1;

when Y0 epsilon Y2, generating fault alarm information as a second rotating speed abnormal alarm D2;

when Y0 epsilon Y3, generating fault alarm information as a third rotating speed abnormal alarm D3.

It should be noted that, the wind speed cannot be kept at a constant value, so that the range of the wind speed is estimated; after determining the estimated range, adopting the inverse calculation of the coefficient and the output frequency to verify whether the wind speed corresponding to the output frequency of the generator accords with the real wind speed; if the result is in accordance with the indication that no fault exists in the power generation process of the wind turbine generator; if the angle and the rotation speed of the blade are not consistent, judging the angle and the rotation speed of the blade; if the angle and the rotating speed of the blade are not problematic, the generator is indicated to be in fault, and if the angle or the rotating speed of the blade is in fault, the fan control equipment is indicated to be in fault; parameters such as temperature, thickness and the like of the brake pad can be added in the blade state detection process; the embodiment realizes the joint analysis of the state of the fan and the power generation efficiency, performs fault diagnosis in steps, does not need to collect all data, and increases the processing utilization rate of an analysis system.

To further optimize the above solution, referring to fig. 1, a controller-level real-time fault diagnosis method, the converter control device determines that includes:

step one, obtaining the current converter output voltage U0, matching the current converter output voltage U0 with a preset normal voltage range U1 of the converter, and generating corresponding fault alarm information according to a matching result;

when U0< U1, generating fault alarm information as a low voltage alarm E1;

when u0=u1, generating fault alarm information as a normal voltage alarm E2;

when U0> U1, the fault alert information is generated as a high voltage alert E3.

It should be noted that, in this embodiment, the self analysis is performed, and the wind speed-power generation-blade joint analysis is different, and in this embodiment, the determination is performed by adopting a mode of presetting a standard voltage, and since the output voltage of the converter is usually kept constant and inconvenient, the output voltage can be changed only when the power grid is changed, so that the analysis and diagnosis of the fault of the converter are implemented according to the voltage value required by the current power grid as the preset standard.

In order to further optimize the above solution, referring to fig. 1, a controller-level real-time fault diagnosis method performs independent exception analysis and joint exception analysis on a determination result, and notifies personnel of presence processing includes:

The combined anomaly analysis process is to summarize fault alarm instructions generated in the judging process of the generator control equipment and the judging process of the fan control equipment;

when the generator fault alarm information is not generated, generating a normal operation instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1 and a first rotation speed normal alarm D1, generating a generator fault alarm instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a rotating speed abnormal alarm instruction;

when all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3 and a first rotation speed normal alarm D1, generating a blade angle abnormal alarm instruction;

when all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a blade angle abnormal alarm instruction and a rotating speed abnormal alarm instruction;

the independent anomaly analysis process is used for acquiring fault alarm information generated in the judging process of the converter control equipment and generating a fault alarm instruction according to the information;

When the fault alarm information is a low-voltage alarm E1, generating a low-voltage abnormal alarm instruction;

when the fault alarm information is a normal voltage alarm E2, an alarm instruction is not generated;

when the fault alarm information is a high-voltage alarm E3, a high-voltage abnormal alarm instruction is generated;

and summarizing the final analysis results of the joint judgment analysis and the independent judgment analysis, sending the summarized instruction to alarm equipment, and transmitting fault information to maintenance personnel through the alarm equipment.

The joint analysis result and the independent analysis result are sent to the alarm device, and the overhaul personnel are informed of entering the field through voice broadcasting, short message sending and other modes.

In one embodiment, referring to fig. 2, a controller-level real-time fault diagnosis system, comprising:

the monitoring module is connected with each control device of the wind turbine generator control level and is used for detecting the ambient wind speed and the operation parameters of each control device in real time;

the central control module is connected with the monitoring module; the central control module analyzes the monitored ambient wind speed and the running parameters, acquires fault information of abnormal equipment and generates an alarm instruction;

and the feedback alarm module is connected with the central control module and is used for acquiring an alarm instruction, notifying maintenance personnel to process according to the alarm instruction and feeding back a processing result in real time.

It should be noted that the monitoring module includes:

the wind speed detection unit is arranged around the wind turbine generator and is used for detecting the environmental wind speed data of the wind turbine generator;

a generator detection unit connected to the generator control device for detecting the generator output power;

the fan operation detection unit is connected with the fan control equipment and used for detecting an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

the converter detection unit is connected with the converter control equipment and is used for detecting the output voltage of the converter;

the central control module includes:

the database is connected with the wind speed detection unit, the generator detection unit, the fan operation detection unit and the converter detection unit and is used for storing environmental wind speed data, output power, ideal blade angle, actual blade angle, ideal rotating speed, actual rotating speed and converter output voltage at all times in a classified mode;

the wind speed analysis unit is connected with the database and used for acquiring current environment wind speed data; the wind speed analysis unit presets a wind speed range, matches current environment wind speed data with the preset wind speed range, and acquires an estimated wind speed range according to a matching result;

The generator analysis unit is connected with the database and the wind speed analysis unit; the generator analysis unit acquires historical wind speed data, a historical estimated wind speed range and historical generator output power, and calculates an adjustment coefficient between wind speed and generator output power in different estimated wind speed ranges; calculating wind speed deduction data according to the corresponding adjustment coefficient of the current estimated wind speed range and the current output power of the generator, comparing the wind speed deduction data with the estimated wind speed range, and generating a generator alarm instruction according to a comparison result;

the fan analysis unit is connected with the generator analysis unit and the database; the fan analysis unit acquires a generator alarm instruction, acquires an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after receiving the generator fault alarm instruction, and calculates an angle difference between the ideal blade angle and the actual blade angle and a rotating speed difference between the ideal rotating speed and the actual rotating speed; the fan analysis unit is used for presetting a difference range, comparing the angle difference and the rotating speed difference with the preset difference range respectively, and generating a fan alarm instruction according to a comparison result;

the converter analysis unit is connected with the database; the converter analysis unit obtains the current converter output voltage and presets a normal voltage range of the converter; comparing the two, and generating a converter alarm instruction according to a comparison result;

The combination unit is connected with the generator analysis unit and the fan analysis unit, gathers and combines according to the received instructions, and generates new fault alarm instructions;

the feedback alarm module comprises:

the instruction analysis unit is connected with the combination unit and the converter analysis unit and is used for receiving the fault alarm instruction and the converter alarm instruction and analyzing and restoring alarm information;

the alarm unit is connected with the instruction analysis unit and used for sending alarm information to maintenance personnel;

the feedback unit is connected with the database and the instruction analysis unit, and when overhauling personnel overhauls, various alarm instructions are manually erased to generate feedback signals, and the control database stores operation parameter data, fault analysis results and fault processing schemes which participate in the diagnosis in the form of historical diagnosis data.

The system is used for fault diagnosis of wind turbine generator controller-level equipment, and firstly, a monitoring module is arranged on the control equipment and used for detecting operation parameters and ambient wind speed; then, the central control module carries out abnormal parameter rule configuration according to the current ambient wind speed and the historical diagnosis data, and generates an instruction level monitoring program; the monitoring module acquires various operation parameter data, classifies the operation parameter data and transmits the operation parameter data to the monitoring program for judgment; then, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to process; the processing result generates a feedback signal, and the central control module receives the signal and initializes a monitoring program; the embodiment improves the reliability and stability of the wind turbine generator in the running process. The timely fault diagnosis and treatment can reduce the downtime of the equipment and improve the wind power generation capacity and the benefit.

It should be noted that, in the system provided in the foregoing embodiment, only the division of the foregoing functional modules is illustrated, in practical application, the foregoing functional allocation may be performed by different functional modules, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps related to the embodiments of the present invention are merely for distinguishing the respective modules or steps, and are not to be construed as unduly limiting the present invention.

The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.

Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the appended claims and their equivalents, the present invention is intended to include such modifications and variations as would be included in the above description of the disclosed embodiments, enabling those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A controller-level real-time fault diagnosis method for performing fault diagnosis on wind turbine controller-level equipment, comprising the steps of:

firstly, setting monitoring devices for detecting operation parameters and ambient wind speed in real time on each control device of a wind turbine control level;

Step two, carrying out abnormal parameter rule configuration in advance according to the current environmental wind speed and historical diagnosis data through a central control end, and generating an instruction level monitoring program according to configuration results;

step three, acquiring various operation parameter data detected by the monitoring equipment, and classifying according to the categories of the operation parameter data; transmitting the classified operation parameter data to the monitoring program for judgment;

step four, independent exception analysis and joint exception analysis are carried out on the judging result, and personnel are notified to arrive at the scene for processing;

step five, acquiring a fault processing result in real time, and generating a feedback signal according to the processing result; and the central control end receives the feedback signal, initializes the monitoring program, stores the operation parameter data, the fault analysis result and the fault processing scheme which participate in the diagnosis in the form of historical diagnosis data, and repeats the first to fourth steps.

2. The method for diagnosing a real-time fault of a controller according to claim 1, wherein the monitoring means for detecting the operation parameters and the ambient wind speed in real time is provided on each control device of the control stage of the wind turbine generator, comprising:

a wind speed monitoring device is arranged around the fan to detect wind speed data near the fan in real time;

Setting an electric power monitoring device on generator control equipment, and detecting the operation parameters of a generator in real time; the operation parameter of the generator is the output power of the generator;

a fan monitoring device is arranged on fan control equipment, and the operation parameters of a fan are detected in real time; the operation parameters of the fan comprise an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

a current transformation monitoring device is arranged on the current transformer control equipment, and the operation parameters of the current transformer are detected in real time; the operating parameter of the converter is the output voltage of the converter.

3. The method for diagnosing a real-time fault at a controller level according to claim 2, wherein the step of performing abnormal parameter rule configuration in advance by the central control terminal according to the current ambient wind speed and the historical diagnostic data, and generating the instruction level monitoring program according to the configuration result comprises:

the wind speed configuration process comprises the steps of presetting a first wind speed range V1, a second wind speed range V2 and a third wind speed range V3, wherein V1 is more than or equal to 3m/s, V2 is more than or equal to 2V 3 is more than or equal to 25m/s; matching the environment wind speed V with each preset wind speed range to obtain an estimated wind speed range;

a generator configuration process of calculating an adjustment coefficient K based on a rule between wind speed data and the generator output power in the historical diagnostic data; the calculation process of the regulating coefficient K is K=V/P, wherein V is wind speed data, and P is generator output power; the adjusting coefficient K comprises a first adjusting coefficient K1, a second adjusting coefficient K2 and a third adjusting coefficient K3; the first regulating coefficient K1 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V1; the second regulating coefficient K2 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V2; the third regulating coefficient K3 is a regulating coefficient between the output power of the generator corresponding to the wind speed data and the wind speed data in the state of V=V3;

The fan state configuration process is used for judging an angle difference value X based on an ideal blade angle and an actual blade angle; presetting a first angle difference range X1, a second angle difference range X2 and a third angle difference range X3, wherein X1 is less than X2 is less than X3; presetting a first angle normal alarm R1, a second angle abnormal alarm R2 and a third angle abnormal alarm R3, and arranging the alarms into R1< R2< R3 according to the importance degree of the alarms; matching the angle difference value X with each angle difference range to generate a corresponding angle alarm;

judging a rotational speed difference value Y based on the ideal rotational speed and the actual rotational speed; presetting a first rotating speed difference range Y1, a second rotating speed difference range Y2 and a third rotating speed difference range Y3, wherein Y1 is less than Y2 is less than Y3; presetting a first rotating speed normal alarm D1, a second rotating speed abnormal alarm D2 and a third rotating speed abnormal alarm D3, and arranging the alarms into D1< D2< D3 according to the importance degree of the alarms; matching the rotation speed difference value Y with each rotation speed difference range to generate a corresponding rotation speed alarm;

the method comprises the following steps of (1) a converter configuration process, wherein the converter presets a normal voltage range U1 of the converter; presetting a low voltage alarm E1, a normal voltage alarm E2 and a high voltage alarm E3; determining a preset voltage warning according to the relation between the output voltage U of the current transformer and the normal voltage range of the preset current transformer;

And obtaining the result of the configuration process, and generating an instruction level monitoring program corresponding to the moment.

4. A controller-level real-time fault diagnosis method according to claim 3, wherein said obtaining each item of operation parameter data detected by said monitoring device and classifying according to the category thereof; transmitting the classified operation parameter data to the monitoring program to judge, wherein the judgment comprises the judgment of generator control equipment, the judgment of fan control equipment and the judgment of converter control equipment; the method comprises the steps of carrying out a first treatment on the surface of the The generator control apparatus determines that it includes:

step one, acquiring current wind speed data V0, and matching the current wind speed data V0 with each preset wind speed range to acquire an estimated wind speed range;

when V0 epsilon V1, selecting a first wind speed range V1 as an estimated wind speed range;

when V0 epsilon V2, selecting a second wind speed range V2 as an estimated wind speed range;

when V0 epsilon V3, selecting a third wind speed range V3 as an estimated wind speed range;

when V0<3m/s or V0>25m/s, the matching fails, and the judgment of the generator control equipment is not carried out;

step two, selecting a corresponding adjusting coefficient Ki, i=1, 2 and 3 according to the estimated wind speed range Vi;

step three, obtaining the current output power P0 of the generator, and reversely calculating wind speed deduction data Vt through the current output power P0 and an adjusting coefficient Ki;

Step four, comparing the wind speed deduction data Vt with the estimated wind speed range Vi to generate corresponding fault alarm information;

when vt=vi, no generator failure warning information is generated;

when Vt is not equal to Vi, generator fault alarm information is generated.

5. The controller-level real-time fault diagnosis method according to claim 4, wherein the fan control apparatus determination includes:

step one, acquiring a generator fault alarm instruction, and acquiring an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after the generator fault alarm instruction is received;

step two, calculating a current angle difference value X0=Xe-Xt; wherein X0 is the current angle difference value, xe is the current ideal blade angle, and Xt is the current actual blade angle;

calculating a current rotation speed difference value Y0=Ye-Yt; wherein Y0 is the current rotation speed difference value, ye is the current ideal rotation speed, and Yt is the current actual rotation speed;

step three, matching the current angle difference value X0 and the current rotating speed difference value Y0 with a corresponding preset angle range and a corresponding preset rotating speed range respectively, and generating corresponding fault alarm information according to a matching result;

when X0 epsilon X1, generating fault alarm information as a first angle normal alarm R1;

When X0 epsilon X2, generating fault alarm information as a second angle abnormal alarm R2;

when X0 epsilon X3, generating fault alarm information as a third angle abnormal alarm R3;

when Y0 epsilon Y1, generating fault alarm information as a first rotational speed normal alarm D1;

when Y0 epsilon Y2, generating fault alarm information as a second rotating speed abnormal alarm D2;

when Y0 epsilon Y3, generating fault alarm information as a third rotating speed abnormal alarm D3.

6. The controller-level real-time fault diagnosis method according to claim 5, wherein the converter control apparatus determination comprises:

step one, obtaining the current converter output voltage U0, matching the current converter output voltage U0 with a preset normal voltage range U1 of the converter, and generating corresponding fault alarm information according to a matching result;

when U0< U1, generating fault alarm information as a low voltage alarm E1;

when u0=u1, generating fault alarm information as a normal voltage alarm E2;

when U0> U1, the fault alert information is generated as a high voltage alert E3.

7. The controller-level real-time fault diagnosis method according to claim 5, wherein said performing independent anomaly analysis and joint anomaly analysis on the determination result and notifying a person of presence processing comprises:

The combined anomaly analysis process is to summarize fault alarm instructions generated in a generator control equipment judging process and a fan control equipment judging process;

when the generator fault alarm information is not generated, generating a normal operation instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1 and a first rotation speed normal alarm D1, generating a generator fault alarm instruction;

when all the generated alarm information is generator fault alarm information, a first angle normal alarm R1, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a rotating speed abnormal alarm instruction;

when all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3 and a first rotation speed normal alarm D1, generating a blade angle abnormal alarm instruction;

when all the generated alarm information is generator fault alarm information, a second angle abnormal alarm R2 or a third angle abnormal alarm R3, a second rotating speed abnormal alarm D2 or a third rotating speed abnormal alarm D3, generating a blade angle abnormal alarm instruction and a rotating speed abnormal alarm instruction;

the independent anomaly analysis process is used for acquiring fault alarm information generated in the judging process of the converter control equipment and generating a fault alarm instruction according to the information;

When the fault alarm information is a low-voltage alarm E1, generating a low-voltage abnormal alarm instruction;

when the fault alarm information is a normal voltage alarm E2, an alarm instruction is not generated;

when the fault alarm information is a high-voltage alarm E3, a high-voltage abnormal alarm instruction is generated;

and summarizing the final analysis results of the joint judgment analysis and the independent judgment analysis, sending the summarized instruction to alarm equipment, and transmitting fault information to maintenance personnel through the alarm equipment.

8. A controller-level real-time fault diagnosis system based on the controller-level real-time fault diagnosis method according to claims 1-7, characterized by comprising:

the monitoring module is connected with each control device of the wind turbine generator control level and is used for detecting the ambient wind speed and the operation parameters of each control device in real time;

the central control module is connected with the monitoring module; the central control module analyzes the monitored ambient wind speed and the running parameters, acquires fault information of abnormal equipment and generates an alarm instruction;

and the feedback alarm module is connected with the central control module and is used for acquiring an alarm instruction, notifying maintenance personnel to process according to the alarm instruction and feeding back a processing result in real time.

9. The controller-level real-time fault diagnosis system according to claim 8, wherein the monitoring module comprises:

the wind speed detection unit is arranged around the wind turbine generator and is used for detecting the environmental wind speed data of the wind turbine generator;

a generator detection unit connected to the generator control device for detecting the generator output power;

the fan operation detection unit is connected with the fan control equipment and used for detecting an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed;

and the converter detection unit is connected with the converter control equipment and is used for detecting the output voltage of the converter.

10. The controller-level real-time fault diagnosis system according to claim 8, wherein the central control module and the feedback alarm module comprise:

the central control module includes:

the database is connected with the wind speed detection unit, the generator detection unit, the fan operation detection unit and the converter detection unit and is used for storing environmental wind speed data, output power, ideal blade angles, actual blade angles, ideal rotating speed, actual rotating speed and converter output voltage at all moments in a classified mode;

The wind speed analysis unit is connected with the database and used for acquiring current environment wind speed data; the wind speed analysis unit is used for presetting a wind speed range, matching current environment wind speed data with the preset wind speed range, and obtaining an estimated wind speed range according to a matching result;

a generator analysis unit connected to the database and the wind speed analysis unit; the generator analysis unit acquires historical wind speed data, a historical estimated wind speed range and historical generator output power, and calculates adjustment coefficients between wind speed and generator output power in different estimated wind speed ranges; calculating wind speed deduction data according to the corresponding adjustment coefficient of the current estimated wind speed range and the current output power of the generator, comparing the wind speed deduction data with the estimated wind speed range, and generating a generator alarm instruction according to a comparison result;

the fan analysis unit is connected with the generator analysis unit and the database; the fan analysis unit acquires a generator alarm instruction, acquires an ideal blade angle, an actual blade angle, an ideal rotating speed and an actual rotating speed at the moment after receiving the generator fault alarm instruction, and calculates an angle difference between the ideal blade angle and the actual blade angle and a rotating speed difference between the ideal rotating speed and the actual rotating speed; the fan analysis unit is used for presetting a difference range, comparing the angle difference and the rotating speed difference with the preset difference range respectively, and generating a fan alarm instruction according to a comparison result;

A converter analysis unit connected to the database; the converter analysis unit obtains the current converter output voltage and presets a normal voltage range of the converter; comparing the two, and generating a converter alarm instruction according to a comparison result;

the combination unit is connected with the generator analysis unit and the fan analysis unit, and is used for summarizing and combining according to the received instructions to generate new fault alarm instructions;

the feedback alarm module comprises:

the instruction analysis unit is connected with the combination unit and the converter analysis unit and is used for receiving the fault alarm instruction and the converter alarm instruction and analyzing and restoring alarm information;

the alarm unit is connected with the instruction analysis unit and used for sending alarm information to maintenance personnel;

and the feedback unit is connected with the database and the instruction analysis unit, and is used for manually erasing various alarm instructions after overhauling by an overhauling personnel to generate a feedback signal and controlling the database to store the operation parameter data, the fault analysis result and the fault processing scheme which participate in the diagnosis in the form of historical diagnosis data.