Shafting misalignment fault diagnosis by means of motor speed signal and SVD-HT method  

基于伺服电机转速信号与SVD-HT方法的轴系不对中故障诊断方法

作　　者：YU Zhen AN Qi SUO Shuangfu QIU Zurong 于振;安琪;索双富;裘祖荣(天津大学精密测试技术及仪器国家重点实验室,天津300072;清华大学机械工程学院,北京100084)

机构地区：[1]State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China [2]Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China

出　　处：《Journal of Measurement Science and Instrumentation》2022年第3期352-370,共19页测试科学与仪器（英文版）

基　　金：National Key Research and Development Program of China(No.2017YFF0108100)。

摘　　要：Aiming at the deficiency of diagnosis method based on vibration signal,a novel method based on speed signal with singular value decomposition and Hilbert transform(SVD-HT)is proposed.The fault diagnosis mechanism based on the speed signal is obtained by constructing the shaft misalignment fault model firstly.Then the SVD-HT method is applied to the processing of the speed signal.The accuracy of the SVD-HT method is verified by comparing the diagnosis results of the order spectrum method and the SVD-HT method.After that,the diagnosis results based on vibration signal and speed signal under no-load and load patterns are compared.Under the no-load pattern,the amplitudes of the speed signal components f_(r),2f_(r) and 4f_(r) are linear with the misalignment.In addition,under the load pattern,the amplitudes of the speed signal components f_(r),2f_(r) and 4f_(r) have a linear relationship with the load.However,the diagnosis result of the vibration signal does not have the above characteristics.The comparison results verify the robustness and reliability of the speed signal and SVD-HT method.The method presented in this paper provides a novel way for misalignment fault diagnosis.

关 键 词：servo motor speed signal misalignment fault sigular value decomposition(SVD) Hilbert transform(HT) 

分 类 号：TM383.4[电气工程—电机]