故障信号小波检测方法的研究  

Study on Fault Signal Detection Method Based on Wavelet Transform

作　　者：孙昊[1] 李凌燕[1] 杜海莲[2] 句希源[2] 

机构地区：[1]国网河北省电力公司石家庄供电分公司,石家庄050051 [2]河北师范大学,石家庄050021

出　　处：《河北电力技术》2015年第3期27-29,共3页Hebei Electric Power

基　　金：河北省自然科学基金资助(F2014205115)

摘　　要：分析小波变换用于故障检测的基本原理以及小波函数的选取原则,介绍利用不同小波函数进行信号噪声消除,奇异点检测及故障的定位等方法,通过测取电动机启动电流信号的小波变换,实现转子断条故障的在线诊断,说明该方法有效,并具有可操作性。The principle of fault detection with wavelet transform and the wavelet function selection are analysed.The method of the different wavelet functions are introduced which are applied to noise elimination of signal,singular point detection and fault location.The online diagnosis about fault of motor rotor broken bars is realized through measuring the wavelet transform of current signal during starting of motor.The validity and operationability of method is verified.

关 键 词：小波变换 小波函数 故障诊断 异步电动机 

分 类 号：TM307[电气工程—电机]