基于奇异值分解滤波与APES算法的异步电动机转子故障检测  

Rotor fault detection based on SVD filtering and APES algorithm for asynchronous motor

作　　者：许伯强[1] 李金卜 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《电力自动化设备》2016年第8期165-169,共5页Electric Power Automation Equipment

摘　　要：简要介绍了奇异值分解(SVD)滤波与幅度相位估计(APES)算法的原理,提出了将奇异值分解滤波与APES算法相结合的异步电动机转子故障检测方法。仿真结果证明了所提方法的可行性。转子断条故障试验结果表明:对于短时信号,所提方法仍能较精确地识别定子电流中故障分量的频率,并准确计算其幅值和初相角,且不受噪声影响。The principles of SVD（Singular Value Decomposition） filtering and APES（Amplitude and Phase EStimation） algorithm are introduced and a method combining SVD filtering and APES algorithm is proposed for detecting the rotor fault of asynchronous motor. Its feasibility is verified by the simulative results. The experimental results of broken bar fault detection show that,immune to the noise,the proposed method can quite precisely identify the fault component frequency of stator current and accurately calculate its amplitude and initial phase angle according to the signals of short time period.

关 键 词：异步电动机 APES 转子故障 SVD滤波 

分 类 号：TM307[电气工程—电机]