中国电机工程学报2012，Vol.32Issue(9)：93-99,7.
基于多重信号分类与模式搜索算法的笼型异步电动机转子断条故障检测新方法
A Detection Method for Broken Rotor Bar Fault in Induction Motors Based on Multiple Signal Classification and Pattern Search Algorithm
摘要
Abstract
This paper proposed a detection method for rotor fault in induction motors, which was based on multiple signal classification （MUSIC） and pattern search algorithm （PSA）. The performance of MUSIC was tested with the simulated stator current signal of an induction motor with broken rotor bar fault. The results show that MUSIC was capable of identifying clearly the frequencies of the broken rotor bar fault feature components and the others in the simulated signal even with short-time sample, although it can not be used to handle with the amplitudes and initial phases of those components. PSA was introduced to determine the amplitudes and initial phases of the frequency components in the simulated signal and the results were really satisfactory. Thus paves the way to detect broken rotor bar fault in induction motors by combining MUSIC and PSA. The related experiment on a 3kW, Y100L-2-typed induction motor had been conducted, and the results reveal that the MUSIC-PSA-based rncthod to detect broken rotor bar fault in induction motors is effective even with short-time sample, and it is a promising choice for induction motors operating with fluctuant load or under severe interference.关键词
异步电动机/转子故障检测：多重信号分类/模式搜索算法Key words
induction motor/rotor fault detection/multiplesignal classification/pattern search algorithm分类
信息技术与安全科学引用本文复制引用
许伯强,孙丽玲,李和明..基于多重信号分类与模式搜索算法的笼型异步电动机转子断条故障检测新方法[J].中国电机工程学报,2012,32(9):93-99,7.基金项目
国家自然科学基金项目 （）
中央高校基本科研业务费专项目（11QG55）o （）
