首页 | 本学科首页   官方微博 | 高级检索  
     

基于CWTHHT结合的永磁同步电机失磁故障诊断方法及其可行性分析
引用本文:魏海增,马宏忠,陈诚,刘勇业. 基于CWTHHT结合的永磁同步电机失磁故障诊断方法及其可行性分析[J]. 电机与控制应用, 2017, 44(8): 81-87
作者姓名:魏海增  马宏忠  陈诚  刘勇业
作者单位:河海大学 能源与电气学院,江苏 南京211100,河海大学 能源与电气学院,江苏 南京211100,上海汽车集团有限公司 新能源汽车事业部,上海201804,河海大学 能源与电气学院,江苏 南京211100
基金项目:上海汽车工业科技发展基金会基金项目(1106)
摘    要:永磁同步电机失磁故障是驱动电机故障中最为严重的故障之一。失磁故障意味着永磁同步电机的优势显著降低。提出了基于CWT-HHT结合的永磁同步电机失磁故障诊断方法并对其可行性进行了分析。首先简要分析了永磁同步电机稳态运行特性、搭建电机故障试验平台,实时采集电机正常及失磁时的定子电流信号;然后通过信号分析得出:失磁故障下电流信号的EMD分解分量imf4的周期性较正常情况时变差,而且分量imf3所占比例较正常情况时变大;失磁故障下电流信号的HHT图中基波频带较正常情况能量分散了。因此,基于CWT-HHT结合的故障诊断方法是可行的。

关 键 词:永磁同步电机   经验模态分解   希尔伯特黄变换   失磁   故障

Diagnosis Method Based on CWTHHT of DemagnetizationFault for Permanent Magnet Synchronous Motorand Analyzing Its Feasibility
WEI Haizeng,MA Hongzhong,CHEN Cheng and LIU Yongye. Diagnosis Method Based on CWTHHT of DemagnetizationFault for Permanent Magnet Synchronous Motorand Analyzing Its Feasibility[J]. Electric Machines & Control Application, 2017, 44(8): 81-87
Authors:WEI Haizeng  MA Hongzhong  CHEN Cheng  LIU Yongye
Affiliation:College of Energy and Electrical Engineering, HoHai University, Nanjing 211100, China,College of Energy and Electrical Engineering, HoHai University, Nanjing 211100, China,New Energy Automotive Business Department, SAIC Motor, Shanghai 201804, China and College of Energy and Electrical Engineering, HoHai University, Nanjing 211100, China
Abstract:Demagnetization fault of permanent magnet synchronous motor was one of the most serious fault in motor fault. Demagnetization fault meant that the advantages of permanent magnet synchronous motor was significantly decreased. Put forward a diagnosis method based on CWTHHT of demagnetization fault for permanent magnet synchronous motor and analyzing its feasibility. Firstly, the steady state operation characteristics of permanent magnet synchronous motor were briefly analyzed, experimental platform of motor fault set up, stator current signal of normal and demagnetization of motor collected in real time; Then, the comparison and the analysis showed that the periodicity of component imf4 of current signal EMD decomposition under the demagnetization fault was worse and component imf3 accounted for a large proportion compared with the normal condition. The energy of the fundamental frequency band of current signal of the demagnetization fault was scattered. Therefore, the fault diagnosis method based on CWTHHT was feasible.
Keywords:permanent magnet synchronous motor (PMSM)   empirical mode decomposition (EMD)   hilberthuang transform (HHT)   demagnetization   fault
本文献已被 CNKI 等数据库收录!
点击此处可从《电机与控制应用》浏览原始摘要信息
点击此处可从《电机与控制应用》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号