基于小波变换的异步电机故障检测与分析  

Detection and Analysis of Asynchronous Motor Fault Based on the Wavelet Transform

作　　者：矫立新[1] 张丽娟 

机构地区：[1]兰州理工大学电气工程与信息工程学院,甘肃兰州730050 [2]山西昆明烟草有限责任公司,山西太原030012

出　　处：《电气自动化》2011年第2期73-75,共3页Electrical Automation

摘　　要：通过合理选取小波基，对提取到的电机振动信号和定子电流信号做小波包变换，从而对电机滚动轴承损坏、转子断条这两类电机主要故障做出准确的判断与分析。对转子断条故障的仿真结果表明，小波包分析方法在电机故障诊断方面具有较好的准确性和优越性。This paper puts forward a method of detection and analysis for AC asynchronous motor fault signal based on wavelet transform. With the reasonable selection of wavelet base, the signals of the motor vibration and stator current are analyzed by this method, which makes accurate analysis and judgment of the major fault for both bearing fault and broken bars. The failure of the rotor breakage bar simulation result shows that the wavelet packet analysis method in motor fault diagnosis is good accuracy and superiority.

关 键 词：电机故障诊断 转子断条 小波分析 

分 类 号：TM930.1[电气工程—电力电子与电力传动] TM343