双馈风力发电机轴承故障诊断研究现状与发展  

Research Status and Development of Bearing Fault Diagnosis for Doubly-Fed Induction Generator

作　　者：马宏忠[1] 李思源 MA Hongzhong;LI Siyuan(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China)

机构地区：[1]河海大学能源与电气学院,江苏南京211100

出　　处：《电机与控制应用》2018年第9期117-124,共8页Electric machines & control application

基　　金：国家自然科学基金项目(51577050;51177039)

摘　　要：双馈风力发电机(DFIG)目前广泛应用于风电事业。就自身结构而言,轴承是电机非常重要的组成部分,其状态决定着电机整体的运行性能。在实际风电场中一般会定期更换电机轴承,但该方法不能避免轴承产生的早期故障。因此对其进行故障初期的诊断尤为重要。首先简单介绍DFIG轴承故障的产生机理及故障模式,再对近几年来相关的诊断方法做逐条归类阐述,最后基于现有成果展望未来DFIG轴承故障诊断方法的发展趋势,为日后该领域的突破和新方法的提出做好准备。Doubly-fed induction generator(DFIG)was widely used in wind power industry.In terms of its structure,the bearing was a very important part of the motor,and its status determined the overall performance of the motor.In the actual wind farm,the motor bearings would be replaced periodically,but this method could not avoid the early fault of the bearing.Therefore,the early diagnosis of the fault was particularly important.First,the bearing fault generation mechanism and failure modes of DFIG were introduced.Then the diagnostic methods frequently used in recent years were classified and described.Finally,based on the existing achievements,the future development trend of DFIG bearing fault diagnosis method was analyzed,so as to make preparations for the possible breakthrough in the field and after the proposal of new methods.

关 键 词：双馈风力发电机 轴承 故障诊断 HHT PARK矢量 柔性滤波 关联维数 周期稀疏导向超小波 

分 类 号：TM315[电气工程—电机]