应用矩阵束算法对电机转子断条故障的检测
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摘要
转子断条故障在异步电机故障中是最为常见的故障之一,针对电动机转子断条和偏心故障诊断的问题,提出了一种应用矩阵束算法对电机转子故障进行诊断检测,同时建立了异步电动机空间矢量表达式及模型。矩阵束算法(Matrix Pencil算法,简称M-P算法)是将采集到的电流信号重构成为Hankel矩阵,对信号和噪声进行奇异值分解,对奇异值进行降序排列,并且部分置零处理,确定阶数并消除信号噪声。通过对理想信号和仿真系统进行分析,结果表明M-P算法不仅可以有效地剔除基频成分和对噪声干扰的抑制作用,能够准确地诊断电动机转子断条和偏心故障的故障程度。
Rotor bar fault is one of the most common faults in asynchronous motor fault. Aiming at the problem of rotor breaking and eccentric fault diagnosis, a matrix beam algorithm is used to diagnose the motor rotor fault, and an asynchronous motor is established Space vector expression and model. Matrix Pencil algorithm(Matrix Pencil algorithm,reerred to as M-P algorithm)is to collect the current signal is reconstructed into Hankel matrix,the signal and noise singular value decomposition,the singular value in descending order,and part of the zero processing to determine the order And eliminate signal noise. By analyzing the ideal signal and simulation system,the results show that the M-P algorithm can effectively eliminate the fundamental frequency component and suppress the noise interference,and can accurately diagnose the fault degree of the rotor and the eccentric fault.
Rotor bar fault is one of the most common faults in asynchronous motor fault. Aiming at the problem of rotor breaking and eccentric fault diagnosis, a matrix beam algorithm is used to diagnose the motor rotor fault, and an asynchronous motor is established Space vector expression and model. Matrix Pencil algorithm(Matrix Pencil algorithm,reerred to as M-P algorithm)is to collect the current signal is reconstructed into Hankel matrix,the signal and noise singular value decomposition,the singular value in descending order,and part of the zero processing to determine the order And eliminate signal noise. By analyzing the ideal signal and simulation system,the results show that the M-P algorithm can effectively eliminate the fundamental frequency component and suppress the noise interference,and can accurately diagnose the fault degree of the rotor and the eccentric fault.
引文
[1]魏闻达.三相异步电机转子故障分析与诊断方法研究[D].武汉:华中科技大学,2015.(Wei Wen-da.Three-phase asynchronous motor rotor fault analysis and diagnosis method[D].Wuhan:Huazhong University of Science and Technology,2015.)
[2]黄锋华.基于MUSIC算法的电动机断条故障检测[D].天津:天津大学,2010(5).(Huang Feng-hua.Fault detection of motor broken bar based on MUSICalgorithm[D].Tianjin:Tianjin University,2010(5).)
[3]Cuz S M A,Cardoso A J M.通过扩展Park矢量方法对三相感应电动机进行转子笼故障诊断[J].电机与电力系统,2000,28(3):289-299.(Cuz S M A,Cardoso A J M.Rotor cage fault diagnosis in three-phase induction motors by extend Park’s vector approach[J].Electric Machine and Power Systems,2000,28(3):289-299.)
[4]张立华,陈浩杰,程振.基于解析小波变换和Hilbert模量频谱分析的感应电动机转子断条故障诊断[J].中国印刷与包装研究,2012,4(5):36-40.(Zhang Li-hua,Chen Hao-jie,Cheng Zhen.Fault diagnosis of rotor bar breaking of induction motor based on analytic wavelet transform and hilbert modulus spectrum[J].China Journal of Printing and Packaging,2012,4(5):36-40.)
[5]黄进,牛发亮,杨家强.基于双PQ变换的感应电机转子故障诊断[J].中国电机工程学报,2006,26(13):135-140.(Huang Jin,Niu fa-lang,Yang Jia-qiang.Fault diagnosis of induction motor based on double PQ transform[J].Proceeding of the CSEE,2006,26(13):135-140.)
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[7]王宇静,于继来.电力系统振荡模态的矩阵束辨识法[J].中国电力工程学报,2007,27(19):12-17.(Wang Yu-jing,Yu Ji-lai.Matrix beam identification method of power system oscillation mode[J].Journal of China Electric Power Engineering,2007,27(19):12-17.)
[8]Hua Y,Sarkar T K.On SVD for estimation广义特征值的奇异矩阵铅笔在噪声[J].IEEE Transactions on Signal Processing,1991,39(4):892-900.(Hua Y,Sarkar T K.On SVD for estimating generalized eigenvalues of singular matrix pencil in noise[J].IEEE Transactions on Signal Processing,1991,39(4):892-900.)
[9]Sanchez-Gasca J J,Chow J H.电子机械振荡分析三种识别方法的性能比较[J].IEEE Trans on Power Systems,1999,14(3):995-1002.(Sanchez-Gasca J J,Chow J H.Performance comparison of three identification methods for the analysis of electrome-chanical oscillations[J].IEEE Trans on Power Systems,1999,14(3):995-1002.)
[10]常鸣,袁慎芳.一种新型数字信号处理技术的研究[J].计算机测量与控制,2005,13(4):356-358.(Chang Ming,Yuan Shen-fang.Study on a new digital signal processing technology[J].Computer Measurement and Control,2005,13(4):356-358.)
[11]李晓鹏,侯佑华.矩阵方法在电力系统网络拓扑的应用[J].内蒙古电力技术,2000,18(4):4-5.(Li Xiao-peng,Hou You-hua.Application of matrix method in power system network topology[J].Inner Mongolia Electric Power Technology,2000,18(4):4-5.)
[2]黄锋华.基于MUSIC算法的电动机断条故障检测[D].天津:天津大学,2010(5).(Huang Feng-hua.Fault detection of motor broken bar based on MUSICalgorithm[D].Tianjin:Tianjin University,2010(5).)
[3]Cuz S M A,Cardoso A J M.通过扩展Park矢量方法对三相感应电动机进行转子笼故障诊断[J].电机与电力系统,2000,28(3):289-299.(Cuz S M A,Cardoso A J M.Rotor cage fault diagnosis in three-phase induction motors by extend Park’s vector approach[J].Electric Machine and Power Systems,2000,28(3):289-299.)
[4]张立华,陈浩杰,程振.基于解析小波变换和Hilbert模量频谱分析的感应电动机转子断条故障诊断[J].中国印刷与包装研究,2012,4(5):36-40.(Zhang Li-hua,Chen Hao-jie,Cheng Zhen.Fault diagnosis of rotor bar breaking of induction motor based on analytic wavelet transform and hilbert modulus spectrum[J].China Journal of Printing and Packaging,2012,4(5):36-40.)
[5]黄进,牛发亮,杨家强.基于双PQ变换的感应电机转子故障诊断[J].中国电机工程学报,2006,26(13):135-140.(Huang Jin,Niu fa-lang,Yang Jia-qiang.Fault diagnosis of induction motor based on double PQ transform[J].Proceeding of the CSEE,2006,26(13):135-140.)
[6]Sonje D M,Munje R K,Sonje D M。电机电流特征分析中感应电动机转子笼故障检测[C].//2012年计算机科学基础(FCS).(Sonje D M,Munje R K,Sonje D M.Rotor cage fault detection in induction motors by motor current signature analysis[C].//Foundation of Computer Science(FCS),2012.)
[7]王宇静,于继来.电力系统振荡模态的矩阵束辨识法[J].中国电力工程学报,2007,27(19):12-17.(Wang Yu-jing,Yu Ji-lai.Matrix beam identification method of power system oscillation mode[J].Journal of China Electric Power Engineering,2007,27(19):12-17.)
[8]Hua Y,Sarkar T K.On SVD for estimation广义特征值的奇异矩阵铅笔在噪声[J].IEEE Transactions on Signal Processing,1991,39(4):892-900.(Hua Y,Sarkar T K.On SVD for estimating generalized eigenvalues of singular matrix pencil in noise[J].IEEE Transactions on Signal Processing,1991,39(4):892-900.)
[9]Sanchez-Gasca J J,Chow J H.电子机械振荡分析三种识别方法的性能比较[J].IEEE Trans on Power Systems,1999,14(3):995-1002.(Sanchez-Gasca J J,Chow J H.Performance comparison of three identification methods for the analysis of electrome-chanical oscillations[J].IEEE Trans on Power Systems,1999,14(3):995-1002.)
[10]常鸣,袁慎芳.一种新型数字信号处理技术的研究[J].计算机测量与控制,2005,13(4):356-358.(Chang Ming,Yuan Shen-fang.Study on a new digital signal processing technology[J].Computer Measurement and Control,2005,13(4):356-358.)
[11]李晓鹏,侯佑华.矩阵方法在电力系统网络拓扑的应用[J].内蒙古电力技术,2000,18(4):4-5.(Li Xiao-peng,Hou You-hua.Application of matrix method in power system network topology[J].Inner Mongolia Electric Power Technology,2000,18(4):4-5.)