电测与仪表2024，Vol.61Issue(4)：161-168,8.DOI:10.19753/j.issn1001-1390.2024.04.023
基于小波包能量分析和信号融合的异步电机转子故障诊断
Rotor fault diagnosis of induction motor based on wavelet packet energy analysis and signal fusion
摘要
Abstract
Aiming to improve the reliability of rotor fault diagnosis for induction motor,this paper proposed a method of rotor fault diagnosis for induction motor based on wavelet packet energy analysis and signal fusion.The frequency spectrum fusion of stator current signal and vibration signal is used as the diagnosis basis of rotor broken bar fault and air gap eccen-tric fault.Firstly,the signal is decomposed by wavelet packet to obtain the corresponding energy distribution under differ-ent wavelet packet frequency band nodes and compare it with the normal motor signal.Then,the wavelet packet node re-construction is carried out for the signal frequency band with abnormal energy.Finally,the fault characteristic frequency is identified by the fast Fourier transform to diagnose whether the motor fault occurs.Through simulation analysis,the ef-fectiveness and practicability of the proposed method are verified,and it is of great significance for the accurate monitoring of motor running state.关键词
故障诊断/异步电机/转子断条/气隙偏心/小波包分析/信号融合Key words
fault diagnosis/induction motor/rotor broken bar fault/air gap eccentric fault/wavelet packet analysis/sig-nal fusion分类
信息技术与安全科学引用本文复制引用
张雅晖,杨凯,杨帆..基于小波包能量分析和信号融合的异步电机转子故障诊断[J].电测与仪表,2024,61(4):161-168,8.基金项目
国家重点研发计划项目(2018YFB0904800) （2018YFB0904800）
国家自然科学基金资助项目(51677078) （51677078）
