基于小波包-陷波器的电机断条故障诊断的仿真  

Simulation of motor broken bars fault diagnosis based on wavelet packet-notch filter

作　　者：王新[1] 张冬霞[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：《河南理工大学学报（自然科学版）》2010年第6期780-783,共4页Journal of Henan Polytechnic University（Natural Science）

基　　金：河南省高校科技创新人才支持计划项目(2008HASTIT022);河南理工大学研究生学位论文创新基金项目资助

摘　　要：转子断条是异步电动机常见的一种故障.基于小波包-自适应陷波器的电机断条故障诊断方法利用小波包对信号进行细致分解,从分解系数上准确找到故障信号所在节点,对该节点进行重构得到要分析的信号,然后采用自适应陷波器去除工频的干扰,提取故障特征量.MATLAB仿真表明,该方法便于故障特征量的提取,从而提高故障诊断的准确率.Motor broken bars is a common motor fault. A method of motor broken bars fault diagnosis is presented based on wavelet packet and adaptive notch filter . The method takes full advantage of wavelet packet detail decomposition to the signal, locates the node where the faults happen from the decomposition coefficients accurately, and reconstructs the decomposition coefficients of the nodes to analyze the signal; And then the adaptive notch filter is used to remove power frequency interference and extract the fault feature. The method is simulated with matlab, and the results of simulation show this method is useful to extract fault feature, and improve the accuracy of fault diagnosis.

关 键 词：小波包 转子断条 自适应陷波器 故障诊断 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]