小波包分析在电动机转子断条故障诊断中的应用  

Application of Wavelet Packet Analysis in Fault Diagnosis of Rotor Bars Breaking of Motors

作　　者：李涛[1] 王新[1] 

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454000

出　　处：《噪声与振动控制》2010年第2期114-117,共4页Noise and Vibration Control

基　　金：河南省重点科技攻关资助项目(072102240006);河南省高校科技创新人才支持计划项目(2008HASTIT022)

摘　　要：采用改进型小波包算法从电气和机械方面提取信号的故障特征,提出一种基于小波包分析频带能量的故障诊断方法。经实验可知,该方法能够更全面的快速检测到转子断条故障的存在而且准确率高,在许多工程实践中可以应用。The common faults of squirrel-cage induction motor and the importance of fault diagnosis are introduced. The electrical and mechanical features of signals are extracted by the modified wavelet packet algorithm. A fault diagnosis method based on wavelet packet analysis of frequency-band energy is proposed. The experiment shows that with this method all the broken bars faults of the rotor can be detected rapidly with high accuracy. This method has high feasibility and extensive applicability.

关 键 词：振动与波 异步电动机 改进型小波包算法 频带能量 

分 类 号：TH165.3[机械工程—机械制造及自动化]