[go: up one dir, main page]

CN114282441A - An equivalent model of friction kinematic pair and its modeling method - Google Patents

An equivalent model of friction kinematic pair and its modeling method Download PDF

Info

Publication number
CN114282441A
CN114282441A CN202111616885.4A CN202111616885A CN114282441A CN 114282441 A CN114282441 A CN 114282441A CN 202111616885 A CN202111616885 A CN 202111616885A CN 114282441 A CN114282441 A CN 114282441A
Authority
CN
China
Prior art keywords
friction
pair
friction force
positive pressure
equivalent model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111616885.4A
Other languages
Chinese (zh)
Other versions
CN114282441B (en
Inventor
邓兆祥
贺本刚
张宇彪
陈之春
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhensheng Chongqing Technology Development Co ltd
Original Assignee
Chongqing University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing University filed Critical Chongqing University
Priority to CN202111616885.4A priority Critical patent/CN114282441B/en
Publication of CN114282441A publication Critical patent/CN114282441A/en
Priority to PCT/CN2022/139144 priority patent/WO2023125026A1/en
Application granted granted Critical
Publication of CN114282441B publication Critical patent/CN114282441B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/06Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Biophysics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computational Linguistics (AREA)
  • Computer Hardware Design (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Genetics & Genomics (AREA)
  • Biomedical Technology (AREA)
  • Geometry (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Feedback Control In General (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention belongs to the field of mechanical engineering, and particularly relates to a friction kinematic pair equivalent model and a modeling method thereof, wherein friction force test data of a friction pair are subjected to statistical analysis modeling and superposition respectively according to high and low frequency bands to construct an equivalent model capable of reflecting the high and low frequency characteristics of the friction pair; aiming at the low-frequency friction characteristic of the friction pair, introducing positive pressure input information and deforming a traditional LuGre model to obtain an implicit relation between the friction response and the relative speed of the friction pair and the positive pressure input; aiming at the high-frequency section friction force characteristic of the friction pair, positive pressure input information is introduced and the friction force self-power spectrum assumption in a power function form is combined to obtain the implicit relation between the friction force response and the positive pressure of the friction pair. The equivalent model provided by the invention not only can reflect the relation between the friction force and the positive pressure and the relative speed, but also can express the friction force characteristic of a wide frequency band, and has good applicability.

Description

一种摩擦运动副等效模型及其建模方法An equivalent model of friction kinematic pair and its modeling method

技术领域technical field

本发明属于机械工程领域,具体涉及一种摩擦运动副等效模型及其建模方法。The invention belongs to the field of mechanical engineering, and particularly relates to an equivalent model of a friction kinematic pair and a modeling method thereof.

背景技术Background technique

摩擦是物体在法向压力作用下相互接触,表面微凸体间相互嵌合,在发生相对滑动,或有相对滑动的趋势时,在接触表面上产生抵抗滑动的阻力的一种自然现象,其中的阻力被称为摩擦力。摩擦的机制相当复杂,已经有大量的研究;摩擦副的特性,即摩擦力响应与摩擦副输入运动条件(正压力、切向相对速度等)的关系,也往往呈现出相当复杂的状况,且与摩擦副材料性质、尤其是摩擦接触表面的性质紧密相关,凡是影响接触表面性质的因素也都会影响摩擦特性。经典的库仑摩擦定律认为,滑动摩擦力与正压力成正比,但后来的研究表明,滑动摩擦力与正压力不总是成正比,且与相对运动速度密切相关,存在Stribeck效应、宏观滑动时滞、预滑动位移迟滞等多种复杂现象,摩擦力也往往呈现出宽频带的特征。Friction is a natural phenomenon in which objects contact each other under the action of normal pressure, and the surface asperities are fitted with each other. When relative sliding occurs, or there is a tendency to relative sliding, resistance against sliding is generated on the contact surface. The resistance is called frictional force. The mechanism of friction is quite complex, and there have been a lot of studies; the characteristics of the friction pair, that is, the relationship between the friction force response and the input motion conditions of the friction pair (positive pressure, tangential relative velocity, etc.) It is closely related to the material properties of the friction pair, especially the properties of the friction contact surface. All factors that affect the properties of the contact surface will also affect the friction characteristics. The classical Coulomb friction law holds that the sliding friction force is proportional to the positive pressure, but later studies have shown that the sliding friction force is not always proportional to the positive pressure, and is closely related to the relative motion speed, and there are Stribeck effects and macroscopic sliding time delays. , pre-sliding displacement hysteresis and other complex phenomena, the friction force often presents the characteristics of broadband.

鉴于摩擦副的复杂特性以及产生摩擦力的复杂机制,目前尚没有办法有效地完成摩擦副的理论建模,因此,只能借助试验方法构建摩擦副的经验模型或半经验模型。关于摩擦副的经验或半经验模型,已有许多种,例如LuGre模型、GW模型、分形接触模型、Stribeck模型、Karnopp模型、Dahl模型、GMS模型、GBM模型等,它们有的比较简洁、有的很复杂,但主要表征的都是摩擦力的低频特性,一般都不包含高频特性。In view of the complex characteristics of the friction pair and the complex mechanism of friction force, there is no way to effectively complete the theoretical modeling of the friction pair. Therefore, the empirical or semi-empirical model of the friction pair can only be constructed by means of experimental methods. There are many empirical or semi-empirical models for friction pairs, such as LuGre model, GW model, fractal contact model, Stribeck model, Karnopp model, Dahl model, GMS model, GBM model, etc. It is very complicated, but it mainly characterizes the low-frequency characteristics of friction, and generally does not include high-frequency characteristics.

在实际工程中,低频的振动激励引起机械系统中的摩擦副产生二次摩擦激励,往往都会辐射出高频的噪声,说明激起了结构的高频振动,因此,摩擦力的高频特性必然受到关注。为此,本发明提供一种新的摩擦运动副等效模型,能够表征宽频带的摩擦力特性,且具有比较简洁的形式,以便用于含摩擦副的局部非线性机械系统的强迫振动响应预测、分析、设计以及控制。In practical engineering, the low-frequency vibration excitation causes the friction pair in the mechanical system to generate secondary friction excitation, which often radiates high-frequency noise, indicating that the high-frequency vibration of the structure is aroused. Therefore, the high-frequency characteristics of the friction force must be Having attention. To this end, the present invention provides a new equivalent model of friction kinematic pairs, which can characterize the friction force characteristics in a wide frequency band and has a relatively concise form, so as to be used for the forced vibration response prediction of a local nonlinear mechanical system with friction pairs. , analysis, design and control.

发明内容SUMMARY OF THE INVENTION

本发明的目的在于提供一种摩擦运动副等效模型及其建模方法,能够表征宽频带的摩擦力特性,且具有比较简洁的形式,以便用于含摩擦副的局部非线性机械系统的强迫振动响应预测、分析、设计以及控制。The purpose of the present invention is to provide an equivalent model of friction kinematic pair and its modeling method, which can characterize the characteristics of friction force in a wide frequency band, and has a relatively concise form, so as to be used for the forcing of a local nonlinear mechanical system containing friction pairs Vibration response prediction, analysis, design and control.

为了达到上述目的,本发明提供一种摩擦运动副等效模型及其建模方法,对摩擦副的摩擦力试验数据按高低频段分别进行统计分析建模并进行叠加,构造能同时反映摩擦副高低频特性的等效模型;In order to achieve the above purpose, the present invention provides an equivalent model of friction motion pair and a modeling method thereof. The friction force test data of the friction pair is statistically analyzed and modeled according to high and low frequency bands and superimposed, and the structure can simultaneously reflect the high and low frequency of the friction pair. Equivalent model of low frequency characteristics;

针对摩擦副的低频段摩擦力特性,引入正压力输入信息并对传统的LuGre模型进行变形得到摩擦力响应与摩擦副相对速度及正压力输入的隐式关系;Aiming at the low-frequency friction characteristics of the friction pair, the positive pressure input information is introduced and the traditional LuGre model is deformed to obtain the implicit relationship between the friction response, the relative velocity of the friction pair and the positive pressure input;

针对摩擦副的高频段摩擦力特性,引入正压力输入信息并结合幂函数形式的摩擦力自功率谱假设,得到摩擦力响应与摩擦副正压力的隐式关系。Aiming at the high-frequency friction characteristics of the friction pair, the positive pressure input information and the assumption of the friction self-power spectrum in the form of a power function are combined to obtain the implicit relationship between the friction response and the positive pressure of the friction pair.

进一步,其摩擦运动副等效模型的数学方程如下:Further, the mathematical equation of the equivalent model of its friction kinematic pair is as follows:

Figure BDA0003436885680000021
Figure BDA0003436885680000021

Figure BDA0003436885680000022
Figure BDA0003436885680000022

Figure BDA0003436885680000023
Figure BDA0003436885680000023

f(N)=aNb+cf(N)=aN b +c

Figure BDA0003436885680000024
Figure BDA0003436885680000024

其中F(N,v)为摩擦副等效模型输出的摩擦力,是摩擦副正压力N和切向相对运动速度v的函数;z为引入的中间变量,通常是时间的函数;t表示时间、ω表示频率;s(N,v)、f(N)、R(N,ω)均为引入的中间函数;r(t)是高频段的摩擦力时间历程,其自功率谱密度即R(N,ω);其余参数均为待定系数,针对特定的摩擦副,即摩擦副的材料确定、摩擦接触表面性质确定,这些待定参数就应该是唯一确定的。Among them, F(N,v) is the friction force output by the equivalent model of the friction pair, which is a function of the positive pressure N of the friction pair and the tangential relative motion velocity v; z is the introduced intermediate variable, usually a function of time; t represents time , ω represents the frequency; s(N,v), f(N), R(N,ω) are all introduced intermediate functions; r(t) is the time history of friction in the high frequency band, and its self-power spectral density is R (N, ω); the remaining parameters are all undetermined coefficients. For a specific friction pair, that is, the determination of the material of the friction pair and the determination of the properties of the friction contact surface, these undetermined parameters should be uniquely determined.

进一步,摩擦副等效模型的待定参数,可经由摩擦试验数据来辨识确定,从而可完成特定摩擦副的等效模型建模。针对任何特定的摩擦副,其等效模型建模的具体步骤包括:Further, the undetermined parameters of the equivalent model of the friction pair can be identified and determined through the friction test data, so that the equivalent model modeling of a specific friction pair can be completed. For any specific friction pair, the specific steps for modeling its equivalent model include:

S1进行摩擦副样件的摩擦试验并记录摩擦力试验相关信号,S2对试验信号预处理,获取摩擦力-相对运动速度、摩擦力-正压力散点图和摩擦力自功率谱,S3基于最小二乘法确定高频段摩擦力模型参数,S4基于最小二乘法和遗传算法识别低频段摩擦力模型参数,S5叠加获得完整等效模型。S1 performs the friction test of the friction pair sample and records the relevant signals of the friction force test, S2 preprocesses the test signal, and obtains the friction force-relative motion speed, friction force-positive pressure scattergram and friction force self-power spectrum, S3 is based on the minimum The square method determines the high-frequency friction model parameters, S4 identifies the low-frequency friction model parameters based on the least squares method and genetic algorithm, and S5 superimposes to obtain a complete equivalent model.

本发明的有益效果在于:本发明提出的等效模型不但能反映了摩擦力与正压力和相对速度的关系,而且可以表达宽频带的摩擦力特性,具有良好的适用性。The beneficial effect of the invention is that the equivalent model proposed by the invention can not only reflect the relationship between the friction force, the positive pressure and the relative velocity, but also express the friction force characteristics of a wide frequency band, and has good applicability.

附图说明Description of drawings

图1典型摩擦副材料标准样件照片;Figure 1. Photo of typical friction pair material standard sample;

图2标准样件摩擦副试验的典型实测摩擦力信号及相对位移信号;Fig. 2 Typical measured friction force signal and relative displacement signal of the friction pair test of the standard sample;

图3摩擦副PC/ABS-PC/ABS正压力30N、速度3mm/s三角位移波激励下的摩擦力高频部分自功率谱;Figure 3. The self-power spectrum of the high-frequency part of the friction force under the excitation of the triangular displacement wave with a positive pressure of 30N and a velocity of 3mm/s for the friction pair PC/ABS-PC/ABS;

图4摩擦副PC/ABS-PC/ABS三角位移波激励下的摩擦力-速度曲线和摩擦力-正压力曲线拟合效果;Fig.4 Fitting effect of friction force-velocity curve and friction force-positive pressure curve under triangular displacement wave excitation of friction pair PC/ABS-PC/ABS;

图5摩擦副PC/ABS-PC/ABS正压力30N、速度1mm/s三角位移波激励下的低频段部分摩擦力时间历程模型迭代效果;Figure 5. Iterative effect of low-frequency partial friction time history model of friction pair PC/ABS-PC/ABS under the excitation of triangular displacement wave with positive pressure of 30N and velocity of 1mm/s;

图6摩擦副PC/ABS-PC/ABS三角位移波激励下的摩擦力时间历程等效模型预测效果;Figure 6. The prediction effect of the equivalent model of friction time history under the excitation of the friction pair PC/ABS-PC/ABS triangular displacement wave;

图7其它典型摩擦副采用本发明等效模型的建模预测摩擦力时间历程与实测值对比图。FIG. 7 is a comparison diagram of the time history of the friction force predicted by the model of the equivalent model of the present invention and the measured value of other typical friction pairs.

具体实施方式Detailed ways

下面通过具体实施方式进一步详细说明。The following is further described in detail through specific embodiments.

在大量摩擦副标准样件摩擦力试验信号采集分析基础上,我们对摩擦力特性进行了统计分析与观察,其低频段的特性与已有的研究结论基本一致,其高频段的特性则呈现出幂函数特征,即摩擦力自功率谱随频率增加而按非线性幂函数规律衰减,通常,高频段的摩擦力会随正压力增加而增加,但与相对运动速度的关联不明显。因此,本发明提出叠加低频段特性和高频段特性的等效模型,即在模型结构上区分为低频段和高频段,在模型参数的辨识上,也采用试验数据的相应频段滤波信号。针对低频段的模型,则考虑到传统的LuGre模型具有明确的物理意义和较简洁的形式,即较少的需辨识的模型参数,以及所能表征的摩擦特性包括了最大静摩擦力大于滑动摩擦力、预滑动位移迟滞、Stribeck效应和滑动摩擦时滞,因此采用传统的LuGre模型,并引入正压力关系进行模型结构适当修改,以表征低频段更完整的摩擦力特性;针对高频段的模型,则直接构建包含正压力输入的摩擦力自功率谱幂函数模型;考虑到高频摩擦力信号的随机性,就可以结合随机相位进一步获得高频段的摩擦力时间历程,于是在时域直接叠加低频段摩擦力,就获得整个频段的完整摩擦力输出。Based on the collection and analysis of friction force test signals of a large number of friction pair standard samples, we have carried out statistical analysis and observation on the friction force characteristics. The power function feature, that is, the self-power spectrum of the friction force decays according to the nonlinear power function law as the frequency increases. Generally, the friction force in the high frequency band increases with the increase of the positive pressure, but the correlation with the relative motion speed is not obvious. Therefore, the present invention proposes an equivalent model that superimposes low-frequency and high-frequency characteristics, that is, the model structure is divided into low-frequency and high-frequency, and the corresponding frequency band of the experimental data is also used to filter the signal in the identification of model parameters. For the low-frequency model, it is considered that the traditional LuGre model has a clear physical meaning and a simpler form, that is, fewer model parameters to be identified, and the friction characteristics that can be characterized include that the maximum static friction force is greater than the sliding friction force. , pre-sliding displacement lag, Stribeck effect and sliding friction time lag, so the traditional LuGre model is used, and the positive pressure relationship is introduced to modify the model structure appropriately to characterize more complete friction characteristics in the low frequency band; for the model in the high frequency band, the Directly construct the friction self-power spectral power function model including the positive pressure input; considering the randomness of the high-frequency friction signal, the time history of the high-frequency friction can be further obtained by combining the random phase, so the low-frequency frequency is directly superimposed in the time domain. The friction force, the complete friction force output of the whole frequency band is obtained.

按照上述思路,本发明提出摩擦运动副新的宽频带摩擦力等效模型如下所示。According to the above thinking, the present invention proposes a new broadband friction equivalent model of the friction motion pair as shown below.

Figure BDA0003436885680000031
Figure BDA0003436885680000031

Figure BDA0003436885680000032
Figure BDA0003436885680000032

Figure BDA0003436885680000033
Figure BDA0003436885680000033

f(N)=aNb+c (4)f(N)=aN b +c (4)

Figure BDA0003436885680000034
Figure BDA0003436885680000034

方程(1)表达了摩擦副等效模型输出的摩擦力F(N,v)由低频段部分

Figure BDA0003436885680000035
和高频段部分r(t)在时域直接叠加而成,是摩擦副正压力N和切向相对运动速度v的隐函数;其中z为引入的中间变量,通常是时间t的函数。低频段部分的摩擦力由方程(2)~(4)给出,方程(4)表达了摩擦力f(N)与正压力的幂函数关系,方程(3)摩擦力s(N,v)与正压力及相对运动速度的关系,N0为参考正压力,方程(2)给出了中间变量z满足的微分方程,显然,针对给定的N、v,由方程(2)可解得z及其一阶导数,从而确定了低频段部分摩擦力时间历程。高频段部分的摩擦力由方程(5)给出,其中ω表示频率,ω0为高、低频段分界频率,R(N,ω)为高频段部分摩擦力的自功率谱密度函数,考虑高频段部分摩擦力的随机性质,假设具有随机相位谱,于是通过傅里叶逆变换可求出高频段摩擦力时间历程r(t)。方程(1)~(5)中的其余参数均为等效模型的待定系数,针对特定的摩擦副,即摩擦副的材料确定、摩擦接触表面性质确定,这些待定参数就应该是唯一确定的。Equation (1) expresses that the friction force F(N,v) output by the equivalent model of the friction pair is determined by the low frequency part
Figure BDA0003436885680000035
It is directly superimposed with the high-frequency part r(t) in the time domain, which is an implicit function of the positive pressure N of the friction pair and the tangential relative motion velocity v; where z is an introduced intermediate variable, usually a function of time t. The friction force in the low frequency band is given by equations (2)~(4). Equation (4) expresses the power function relationship between the friction force f(N) and the normal pressure. Equation (3) friction force s(N,v) The relationship with the positive pressure and relative motion speed, N 0 is the reference positive pressure, equation (2) gives the differential equation satisfied by the intermediate variable z, obviously, for the given N and v, equation (2) can be solved by z and its first derivative, thereby determining the time history of friction in the low frequency band. The friction force in the high frequency band is given by equation (5), where ω represents the frequency, ω 0 is the boundary frequency between the high and low frequency bands, and R(N,ω) is the self-power spectral density function of the friction force in the high frequency band. The random nature of the friction force in the frequency band is assumed to have a random phase spectrum, so the time history r(t) of the friction force in the high frequency band can be obtained through the inverse Fourier transform. The remaining parameters in equations (1) to (5) are undetermined coefficients of the equivalent model. For a specific friction pair, that is, the determination of the material of the friction pair and the determination of the properties of the friction contact surface, these undetermined parameters should be uniquely determined.

针对任何摩擦运动副,本发明给出的模型结构如方程(1)~(5)所示,其中的待定系数可通过试验辨识确定,从而完成摩擦运动副等效模型的建模。该方法的具体步骤如下。For any friction moving pair, the model structure given by the present invention is shown in equations (1) to (5), and the undetermined coefficients can be identified through test identification, thereby completing the modeling of the equivalent model of the friction moving pair. The specific steps of the method are as follows.

S1进行摩擦副样件的摩擦试验并记录摩擦力试验相关信号。S1 performs the friction test of the friction pair sample and records the relevant signals of the friction force test.

该步骤应该针对目标摩擦运动副制备标准的摩擦副试验样件,其材料及接触表面性质(表面硬度、粗糙度等)与目标摩擦运动副一致。摩擦试验应同步记录摩擦副的正压力、摩擦力和切向相对运动位移或速度信号,应包含摩擦副预滑动状态和宏观滑动状态。可以进行摩擦副往复滑动试验,也可以进行摩擦副单向滑动试验。选择不同的摩擦试验方式,往往需要不同的摩擦副摩擦力试验装置或设备。本发明推荐采用三角波位移激励的摩擦副往复滑动摩擦试验,可以快速进行试验并获得所需摩擦状态的摩擦力等信号,在相对往复滑动的换向区段,可获得摩擦副预滑动阶段的相关信息,在其余稳定滑动区段,可获得恒速下的摩擦副宏观滑动阶段的相关信息,便于建模使用。通常都在给定正压力下进行摩擦副相对滑动试验,每次试验应包含给定速度的稳定滑动状态和由静止到给定速度的过渡状态,调整正压力和速度,可得到建模所需各种状态的摩擦试验信号。In this step, a standard friction pair test sample should be prepared for the target friction moving pair, and its material and contact surface properties (surface hardness, roughness, etc.) are consistent with the target friction moving pair. The friction test should simultaneously record the positive pressure, friction force and tangential relative motion displacement or velocity signal of the friction pair, and should include the pre-slip state and macro-slip state of the friction pair. The reciprocating sliding test of the friction pair can be carried out, and the one-way sliding test of the friction pair can also be carried out. Choosing different friction test methods often requires different friction pair friction test devices or equipment. The invention recommends the reciprocating sliding friction test of the friction pair excited by the triangular wave displacement, which can quickly conduct the test and obtain the friction force and other signals of the required friction state. In the remaining stable sliding sections, relevant information about the macroscopic sliding stage of the friction pair under constant speed can be obtained, which is convenient for modeling. The relative sliding test of the friction pair is usually carried out under a given positive pressure. Each test should include a stable sliding state at a given speed and a transition state from rest to a given speed. Adjust the positive pressure and speed to obtain the required modeling requirements. Friction test signals in various states.

S2对试验信号预处理,获取摩擦力-相对运动速度、摩擦力-正压力散点图和摩擦力自功率谱。S2 preprocesses the test signal to obtain friction force-relative motion velocity, friction force-positive pressure scattergram and friction force self-power spectrum.

对试验实测摩擦力信号进行滤波处理,分别获得低频段摩擦力信号和高频段摩擦力信号。将相对运动位移信号和速度信号(若仅记录了一种信号,另一种信号可由其微分或积分得到)与低频段摩擦力信号相互参照,容易区分宏观滑动与预滑动阶段的摩擦力,也容易区分恒定速度滑动区段的摩擦力。利用给定正压力下不同恒定速度滑动区段的摩擦力信号,可得到摩擦力-相对运动速度散点图;利用不同正压力下给定速度的恒速滑动区段的摩擦力信号,可得到摩擦力-正压力散点图。类似地,利用高频段的摩擦力信号,也可以获得高频段摩擦力-正压力散点图,对给定参考正压力下的高频段摩擦力信号进行频谱分析,可获得其自功率谱图。The frictional force signal measured in the experiment is filtered, and the low-frequency and high-frequency frictional force signals are obtained respectively. The relative motion displacement signal and velocity signal (if only one signal is recorded, the other signal can be obtained by its differentiation or integration) and the low-frequency friction force signal are cross-referenced, it is easy to distinguish the friction force in the macro-slip and pre-slip stages, and also The friction of the constant speed sliding section is easily distinguished. Using the friction force signals of different constant-speed sliding sections under a given positive pressure, the friction force-relative motion velocity scatter diagram can be obtained; Friction-positive pressure scatterplot. Similarly, the high-frequency friction-positive pressure scattergram can also be obtained by using the high-frequency friction signal, and the self-power spectrum can be obtained by spectrum analysis of the high-frequency friction signal under a given reference positive pressure.

S3基于最小二乘法确定高频段摩擦力模型参数。S3 determines the parameters of the high-frequency friction model based on the least squares method.

利用高频段摩擦力-正压力散点图和高频段摩擦力自功率谱图,基于最小二乘法,可确定方程(5)中的待定参数,从而确定高频段摩擦力的频谱模型。Using the high-frequency friction-positive pressure scattergram and the high-frequency friction self-power spectrum, based on the least squares method, the undetermined parameters in equation (5) can be determined, thereby determining the high-frequency friction spectrum model.

S4基于最小二乘法和遗传算法识别低频段摩擦力模型参数。S4 identifies low-frequency friction model parameters based on least squares method and genetic algorithm.

利用低频段的摩擦力-正压力散点图和摩擦力-相对运动速度散点图,基于最小二乘法,可分别确定方程(4)和(3)中的各个待定参数。再利用低频段的摩擦力时间历程和对应的相对运动速度时间历程,以及已辨识求出的中间函数s(N,v)及f(N),基于遗传算法(当然,也可以选择其它成熟的优化算法),可以求出方程(1)、(2)中的待定参数σ0和σ1Using the friction force-positive pressure scattergram and friction force-relative motion velocity scattergram in the low frequency band, based on the least squares method, the undetermined parameters in equations (4) and (3) can be determined respectively. Then use the friction time history of the low frequency band and the corresponding relative motion speed time history, as well as the identified intermediate functions s(N, v) and f(N), based on the genetic algorithm (of course, other mature can also be selected. optimization algorithm), the undetermined parameters σ 0 and σ 1 in equations (1) and (2) can be obtained.

S5叠加获得完整等效模型。S5 superposition obtains the full equivalent model.

考虑到高频段摩擦力的随机性质,假设它具有随机相位谱,再利用已辨识求出的高频段摩擦力自功率谱密度函数,即(5)式,可通过傅里叶逆变换求出其时间历程,即高频段的摩擦力r(t),再与S4步求出的低频段摩擦力

Figure BDA0003436885680000041
叠加,即可获得完整的摩擦力输出。至此,等效模型方程(1)~(5)中的所有待定参数及函数都已确定,即获得了目标摩擦运动副完整的等效模型。Considering the random nature of the friction force in the high frequency band, it is assumed that it has a random phase spectrum, and then the self-power spectral density function of the friction force in the high frequency band that has been identified and obtained, that is, equation (5), can be obtained by inverse Fourier transform. The time history, that is, the friction force r(t) in the high frequency band, and the friction force in the low frequency band obtained in step S4
Figure BDA0003436885680000041
Superimpose to get the full friction output. So far, all undetermined parameters and functions in the equivalent model equations (1) to (5) have been determined, that is, a complete equivalent model of the target friction kinematic pair is obtained.

实施例:Example:

图1所示为构成摩擦副的典型材料标准样件实物照片。针对特定摩擦副标准样件,采用自研的往复式摩擦试验机开展摩擦试验,获取相关实测信号,然后按照本发明所述方法建立该摩擦副的等效模型,并将等效模型预测的摩擦力与实测摩擦力进行对比,以说明等效模型的有效性。具体的实施过程和结果如下。Figure 1 shows a real photo of a typical material standard sample that constitutes a friction pair. For a specific friction pair standard sample, a self-developed reciprocating friction testing machine is used to carry out the friction test to obtain relevant measured signals, and then an equivalent model of the friction pair is established according to the method of the present invention, and the friction predicted by the equivalent model is used. The force is compared with the measured friction force to illustrate the validity of the equivalent model. The specific implementation process and results are as follows.

第一步:将摩擦副标准样件安装于专门的摩擦试验机,加载不同正压力,设定不同的速度进行三角波位移激励,使摩擦副样件发生切向往复相对运动,记录摩擦力和相对位移的时间历程,典型的摩擦力及相对位移实测信号如图2所示。试验期间,环境温度在20±5℃,湿度在75%~85%。试验工况选择的正压力和相对速度如表1所示。Step 1: Install the friction pair standard sample on a special friction testing machine, load different positive pressures, set different speeds for triangular wave displacement excitation, make the friction pair sample tangential reciprocating relative motion, record the friction force and relative The time history of displacement, typical friction force and relative displacement measured signals are shown in Figure 2. During the test, the ambient temperature was 20±5°C, and the humidity was 75% to 85%. The positive pressure and relative velocity selected for the test conditions are shown in Table 1.

表1试验工况Table 1 Test conditions

Figure BDA0003436885680000051
Figure BDA0003436885680000051

第二步:选择30N压力下不同速度的试验数据,对摩擦力时间历程进行2Hz低通滤波,对照相对位移及速度时间历程,针对恒速滑动阶段的摩擦力信号,求摩擦力平均值,获得摩擦力-速度散点图;选择不同正压力下3mm/s速度的试验数据,对摩擦力时间历程进行2Hz低通滤波,类似处理得到摩擦力-正压力散点图;选取30N,3mm/s的试验数据,为了去除往复运动的基波影响,截取往复运动的一个方向上的摩擦力时间历程,减去直流分量,对其进行功率谱密度估计,即得到高频段部分摩擦力功率谱密度曲线;也可以对摩擦力时间历程进行高通滤波(截止频率取2Hz),然后再对滤波信号进行谱分析求出高频段部分的摩擦力功率谱密度曲线,两种做法的结果基本相同。Step 2: Select the test data of different speeds under 30N pressure, perform 2Hz low-pass filtering on the time history of friction force, compare the relative displacement and speed time history, and find the average value of the friction force for the friction force signal in the constant speed sliding stage, and obtain Friction force-velocity scatter diagram; select the test data of 3mm/s speed under different positive pressures, perform 2Hz low-pass filtering on the time history of friction force, and obtain the friction force-positive pressure scattergram by similar processing; select 30N, 3mm/s In order to remove the fundamental wave effect of the reciprocating motion, intercept the friction time history in one direction of the reciprocating motion, subtract the DC component, and estimate the power spectral density of it, that is, the power spectral density curve of the friction force in the high frequency band is obtained. ; It is also possible to perform high-pass filtering on the friction time history (the cut-off frequency is 2 Hz), and then perform spectral analysis on the filtered signal to obtain the friction power spectral density curve in the high-frequency part. The results of the two methods are basically the same.

第三步:建立高频段部分摩擦力的模型。即基于最小二乘法,根据实测的高频段部分摩擦力功率谱密度曲线,求出其自功率谱模型(即方程(5))中的待定参数,图3所示为高频段部分摩擦力自功率谱模型计算曲线与实测曲线的对比,再假设有随机相位谱(均匀分布),借助傅里叶逆变换,求出高频段部分的摩擦力时间历程。Step 3: Build a model of the high-frequency part of the friction force. That is, based on the least squares method, according to the measured power spectral density curve of the high-frequency part of the friction force, the undetermined parameters in the self-power spectrum model (ie equation (5)) are obtained. Figure 3 shows the high-frequency part of the friction force self-power Comparing the calculated curve of the spectral model with the measured curve, and assuming a random phase spectrum (uniform distribution), with the help of inverse Fourier transform, the friction time history of the high-frequency part is obtained.

第四步:建立低频段部分摩擦力模型。首先基于最小二乘法,分别利用实测信号分析得到的摩擦力-正压力散点图和摩擦力-速度散点图,分别通过拟合f(N)=aNb+c摩擦力-正压力曲线和

Figure BDA0003436885680000052
摩擦力-速度曲线,求出其中的待定参数a、b、c、μc、μs、vc、σ2和δs,图4所示为PC/ABS-PC/ABS材料副样件摩擦试验的摩擦力-速度散点图和摩擦力-正压力散点图的拟合效果。此处,参考正压力取的是30N。然后采用遗传算法,以低频段摩擦力模型计算出的摩擦力时间历程与30N、3mm/s工况下试验实测摩擦力2Hz低通滤波时间历程的误差标准差为目标函数,迭代出目标函数最小时的参数σ0、σ1,即确定了低频段部分摩擦力模型,图5所示为低频段部分摩擦力模型预测与实测的时间历程对比。Step 4: Establish a low-frequency partial friction model. Firstly, based on the least squares method, the friction force-positive pressure scattergram and the friction force-velocity scattergram obtained by the analysis of the measured signal are used, respectively, by fitting f(N)=aN b +c friction force-positive pressure curve and
Figure BDA0003436885680000052
The friction force-velocity curve, and the undetermined parameters a, b, c, μ c , μ s , vc , σ 2 and δ s are obtained. Figure 4 shows the friction of the PC/ABS-PC/ABS material pair sample Fitting effect of friction force-velocity scatter plot and friction force-positive pressure scatter plot of the experiment. Here, the reference positive pressure is 30N. Then, using the genetic algorithm, the error standard deviation between the time history of friction force calculated by the low-frequency friction force model and the time history of the friction force measured at 2Hz low-pass filter under the working conditions of 30N and 3mm/s is used as the objective function, and iteratively obtains the most optimal objective function. The hourly parameters σ 0 , σ 1 determine the low-frequency partial friction model, and Fig. 5 shows the comparison of the predicted and measured time history of the low-frequency partial friction model.

第五步:将低频段部分摩擦力与高频段部分摩擦力在时间域直接叠加,就得到摩擦副等效模型总的摩擦力,即摩擦力等效模型方程(1)~(5)中的所有待定参数都已确定,完成了该摩擦副等效模型的建模,利用该等效模型,只要给定模型输入,即正压力与相对速度的时间历程(包括恒为常量的情形),就可以计算出方程(1)~(5)中的各个中间函数、中间变量以及最终所需计算的等效模型输出,即摩擦力时间历程。图6给出了PC/ABS-PC/ABS材料副样件摩擦试验典型工况下的摩擦力实测时间历程与等效模型预测摩擦力时间历程的对比效果。Step 5: The friction force of the low frequency band and the friction force of the high frequency band are directly superimposed in the time domain, and the total friction force of the equivalent model of the friction pair is obtained, that is, the friction force equivalent model equations (1)-(5). All undetermined parameters have been determined, and the modeling of the equivalent model of the friction pair has been completed. Using this equivalent model, as long as the model input is given, that is, the time history of positive pressure and relative velocity (including the case of constant constant), The intermediate functions and intermediate variables in equations (1) to (5) can be calculated, as well as the final equivalent model output that needs to be calculated, that is, the time history of frictional force. Fig. 6 shows the comparison effect of the measured time history of friction force and the time history of friction force predicted by the equivalent model under the typical working conditions of the friction test of PC/ABS-PC/ABS material sub-samples.

显然,按本发明方法建立的PC/ABS-PC/ABS材料摩擦副等效模型能够准确地预测摩擦力时间历程,事实上,针对其它典型材料摩擦副也有类似效果,图7给出了一些典型的实测摩擦力时间历程与等效模型预测时间历程的对比,两者的大小和变化趋势基本一致,说明等效模型很好地表征了摩擦副的动力学特性。Obviously, the PC/ABS-PC/ABS material friction pair equivalent model established by the method of the present invention can accurately predict the time history of friction force. In fact, it has similar effects for other typical material friction pairs. Figure 7 shows some typical The comparison between the measured friction time history and the time history predicted by the equivalent model shows that the magnitude and change trend of the two are basically the same, indicating that the equivalent model can well characterize the dynamic characteristics of the friction pair.

需要提前说明的是,在本发明中,除非另有明确的规定和限定,术语“安装”、“相连”、“连接”、“固定”等术语应做广义理解,例如,可以是固定连接,也可以是可拆卸连接,或一体地连接;可以是直接相连,也可以通过中间媒介间接相连,可以是两个元件内部的连通。对于本领域的普通技术人员而言,可以根据具体情况理解上述术语在本发明中的具体含义。It should be noted in advance that in the present invention, unless otherwise expressly specified and limited, terms such as "installation", "connection", "connection" and "fixation" should be understood in a broad sense, for example, it may be a fixed connection, It can also be a detachable connection, or an integral connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be internal communication between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

以上所述的仅是本发明的实施例,方案中公知的具体结构及特性等常识在此未作过多描述。应当指出,对于本领域的技术人员来说,在不脱离本发明结构的前提下,还可以作出若干变形和改进,这些也应该视为本发明的保护范围,这些都不会影响本发明实施的效果和专利的实用性。本申请要求的保护范围应当以其权利要求的内容为准,说明书中的具体实施方式等记载可以用于解释权利要求的内容。The above descriptions are only embodiments of the present invention, and common knowledge such as well-known specific structures and characteristics in the solution are not described too much here. It should be pointed out that for those skilled in the art, some modifications and improvements can be made without departing from the structure of the present invention. These should also be regarded as the protection scope of the present invention, and these will not affect the implementation of the present invention. Effectiveness and utility of patents. The scope of protection claimed in this application shall be based on the content of the claims, and the descriptions of the specific implementation manners in the description can be used to interpret the content of the claims.

Claims (3)

1. A friction kinematic pair equivalent model and its modeling method, characterized by that, carry on the statistical analysis modeling and superpose separately according to the high-low frequency band to the friction test data of the friction pair, construct the equivalent model that can reflect the high-low frequency characteristic of the friction pair at the same time;
aiming at the low-frequency friction characteristic of the friction pair, introducing positive pressure input information and deforming a traditional LuGre model to obtain an implicit relation between the friction response and the relative speed of the friction pair and the positive pressure input;
aiming at the high-frequency section friction force characteristic of the friction pair, positive pressure input information is introduced and the friction force self-power spectrum assumption in a power function form is combined to obtain the implicit relation between the friction force response and the positive pressure of the friction pair.
2. The friction kinematic pair equivalent model and the modeling method thereof according to claim 1, characterized in that the mathematical equation of the friction kinematic pair equivalent model is as follows:
Figure FDA0003436885670000011
Figure FDA0003436885670000012
Figure FDA0003436885670000013
f(N)=aNb+c
Figure FDA0003436885670000014
f (N, v) is the friction force output by the friction pair equivalent model and is a function of the positive pressure N and the tangential relative movement speed v of the friction pair; z is an intermediate variable introduced, typically as a function of time; t represents time, ω represents frequency; s (N, v), f (N), R (N, omega) are all introduced intermediate functions; r (t) is the time history of the friction force in the high frequency band, its self-power spectral density is R (N, omega); the other parameters are all pending coefficients, and the pending parameters are determined uniquely for specific friction pairs, namely the material determination of the friction pairs and the surface property determination of the friction contact.
3. The friction kinematic pair equivalent model and the modeling method thereof as claimed in claim 2, wherein the undetermined parameters of the friction kinematic pair equivalent model can be identified and determined through friction test data, so as to complete the modeling of the equivalent model of a specific friction pair. For any specific friction pair, the specific steps of modeling the equivalent model thereof comprise:
s1 friction test of the friction pair sample piece is carried out, friction force test related signals are recorded, S2 preprocessing of the test signals is carried out, friction force-relative movement speed, a friction force-positive pressure scatter diagram and a friction force self-power spectrum are obtained, S3 determines high-frequency-band friction force model parameters based on a least square method, S4 identifies low-frequency-band friction force model parameters based on a least square method and a genetic algorithm, and S5 is overlapped to obtain a complete equivalent model.
CN202111616885.4A 2021-12-27 2021-12-27 An equivalent model of friction kinematic pair and its modeling method Active CN114282441B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202111616885.4A CN114282441B (en) 2021-12-27 2021-12-27 An equivalent model of friction kinematic pair and its modeling method
PCT/CN2022/139144 WO2023125026A1 (en) 2021-12-27 2022-12-14 Friction kinematic pair equivalent model and building method therefor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111616885.4A CN114282441B (en) 2021-12-27 2021-12-27 An equivalent model of friction kinematic pair and its modeling method

Publications (2)

Publication Number Publication Date
CN114282441A true CN114282441A (en) 2022-04-05
CN114282441B CN114282441B (en) 2025-01-14

Family

ID=80876380

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111616885.4A Active CN114282441B (en) 2021-12-27 2021-12-27 An equivalent model of friction kinematic pair and its modeling method

Country Status (2)

Country Link
CN (1) CN114282441B (en)
WO (1) WO2023125026A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023125026A1 (en) * 2021-12-27 2023-07-06 重庆大学 Friction kinematic pair equivalent model and building method therefor

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118088288B (en) * 2024-04-26 2024-07-19 潍柴动力股份有限公司 Engine oil pressure control method and related equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108414105A (en) * 2018-01-29 2018-08-17 北京航空航天大学 A kind of dynamic temperature measurement method that the emulation secondary for dry friction is coupled with experiment
CN111766198A (en) * 2020-07-09 2020-10-13 重庆大学 A method and device for dynamic friction test of materials based on folding pendulum

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004016288B3 (en) * 2004-04-02 2005-08-18 Daimlerchrysler Ag Determining friction value between vehicle tire, road involves evaluating tire vibration characteristic(s), especially frequency spectrum and/or time domain spectrum, by evaluating data using physical and/or phenomenological model approach
CN101907557B (en) * 2010-07-30 2011-12-21 北京宇航系统工程研究所 System for accurately testing friction damping
CN103175775A (en) * 2013-03-12 2013-06-26 北京机械设备研究所 Test system for friction of cylinder sleeve piston ring based on direct transmission of linear motor
CN106596087B (en) * 2016-12-12 2019-07-05 山东大学 A kind of device and method of novel achievable whole assembly Friction identification
CN109214128B (en) * 2018-10-25 2023-02-28 北京信息科技大学 A Modeling Method for the Distribution Characteristics of Lubrication Flow Field in the Sliding Process of Wet Friction Pairs
CN111272535B (en) * 2020-02-11 2022-08-16 武汉科技大学 Fretting sliding composite friction and wear test system and operation method thereof
CN114282441B (en) * 2021-12-27 2025-01-14 振声(重庆)科技发展有限责任公司 An equivalent model of friction kinematic pair and its modeling method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108414105A (en) * 2018-01-29 2018-08-17 北京航空航天大学 A kind of dynamic temperature measurement method that the emulation secondary for dry friction is coupled with experiment
CN111766198A (en) * 2020-07-09 2020-10-13 重庆大学 A method and device for dynamic friction test of materials based on folding pendulum

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
丁千;翟红梅;: "机械系统摩擦动力学研究进展", 力学进展, no. 01, 25 January 2013 (2013-01-25) *
夏利红;邓兆祥;: "电子机械制动执行器的摩擦力矩和能耗分析", 湖南大学学报(自然科学版), no. 04, 25 April 2018 (2018-04-25) *
孟德远;陶国良;刘昊;陈剑锋;: "基于LuGre模型的气缸摩擦力特性研究", 浙江大学学报(工学版), no. 06, 15 June 2012 (2012-06-15) *
张铁;李秋奋;邹焱飚;: "轻载机器人动力学参数辨识中的关节摩擦力辨识", 润滑与密封, no. 07, 15 July 2020 (2020-07-15) *
高建树;杨朝阳;: "基于AMESim的机场跑道摩擦系数测试车振动研究", 计算机应用与软件, no. 11, 15 November 2013 (2013-11-15) *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023125026A1 (en) * 2021-12-27 2023-07-06 重庆大学 Friction kinematic pair equivalent model and building method therefor

Also Published As

Publication number Publication date
CN114282441B (en) 2025-01-14
WO2023125026A1 (en) 2023-07-06

Similar Documents

Publication Publication Date Title
Bin et al. Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
Seena et al. Dynamic mode decomposition of turbulent cavity flows for self-sustained oscillations
Oberst et al. Statistical analysis of brake squeal noise
CN114282441A (en) An equivalent model of friction kinematic pair and its modeling method
CN111046341A (en) A method for evaluating unconventional natural gas fracturing effect and predicting productivity based on principal component analysis
Yao et al. Blind modal identification using limited sensors through modified sparse component analysis by time‐frequency method
Głowacz et al. Recognition of rotor damages in a DC motor using acoustic signals
Luo et al. Weak signal enhancement for rolling bearing fault diagnosis based on adaptive optimized VMD and SR under strong noise background
Xiong et al. A new procedure for extracting fault feature of multi-frequency signal from rotating machinery
CN108875170A (en) A kind of Noise Sources Identification method based on improvement variation mode decomposition
Shi et al. The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis
Chao et al. Improving accuracy of cavitation severity recognition in axial piston pumps by denoising time–frequency images
Yang et al. Tri-axial vibration information fusion model and its application to gear fault diagnosis in variable working conditions
CN108956143A (en) A kind of transversal crack fault characteristic value extracting method of rotor-bearing system
Song et al. Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis
Sun et al. Characteristic parameter extraction of running-in attractors based on phase trajectory and grey relation analysis
Xu et al. Bearing fault detection using an alternative analytic energy operator: a fast and non-filtering method
Liu et al. Hydraulic pump fault diagnosis based on chaotic characteristics of speed signals under non-stationary conditions
Chen et al. Intelligent analysis method of gear faults based on FRWT and SVM
Li et al. Multifractal detrended fluctuation analysis of frictional vibration signals in the running-in wear process
CN109270045A (en) A kind of rapid fluorescence background suppression method for Raman spectrum
CN105975995A (en) Fuzzy-preference-relation-based multi-vibration-signal fusion method
Zhao et al. Dense multi-scale entropy and it’s application in mechanical fault diagnosis
CN107346300A (en) A kind of Transfer Path Analysis Method of Automobile based on absolute transport function
Wan et al. Adaptive asymmetric real Laplace wavelet filtering and its application on rolling bearing early fault diagnosis

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20230710

Address after: 402760 No.92 Donglin Avenue, Biquan street, Bishan District, Chongqing

Applicant after: Zhensheng (Chongqing) Technology Development Co.,Ltd.

Address before: 400044 No. 174, positive street, Shapingba District, Chongqing

Applicant before: Chongqing University

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant