电机与控制应用2016，Vol.43Issue(5)：59-63,78,6.
基于ESPRIT和扩展Prony算法的异步电机转子断条故障检测方法∗
Application of ESPRIT and Expanded Prony Algorithm on Induction Motor Rotor Bar Fault Detection
摘要
Abstract
Presents a detection method for rotor fault in induction motors, which combines the estimation of signal parameters via rotational invariance technique ( ESPRIT ) and Prony algorithm. With the high frequency resolution characteristic, the ESPRIT could precisely extract the broken rotor bar fault feature frequency components and the others in stator current signals. However, it could not estimate the amplitudes and initial phases accurately. And then try to apply the extended Prony algorithm to determine the amplitude and the initial phase of each frequency component. The simulation and experimental results demonstrate that the rotor fault detection method based on ESPRIT and expanded Prony algorithm was effectively and and it was suitable for online detection due to its simple algorithm and short runtime.关键词
异步电动机/转子故障检测/高频率分辨力谱估计技术/Prony算法Key words
induction motor/rotor fault detection/estimation of signal parameters via rotational invariancetechnique( ESPRIT)/prony algorithm分类
信息技术与安全科学引用本文复制引用
许伯强,朱明飞..基于ESPRIT和扩展Prony算法的异步电机转子断条故障检测方法∗[J].电机与控制应用,2016,43(5):59-63,78,6.基金项目
国家自然科学基金项目(51277077) （51277077）
