基于小波分析的转子绕组匝间短路故障诊断方法  

Fault Diagnosis of the Interturn Short Circuit in Rotor Windings Based on Wavelet Analysis

作　　者：陈小玄[1] 罗大庸[1] 单勇腾[1] 

机构地区：[1]中南大学 信息科学与工程学院,湖南长沙410075

出　　处：《自动化技术与应用》2007年第2期85-89,共5页Techniques of Automation and Applications

摘　　要：分析了汽轮发电机发生转子绕组匝间短路故障时的电磁特性,提出了基于小波分析的故障检测与诊断方法。这种方法是在探测线圈法的基础上,将小波变换用于突变信号的检测,对气隙中感应电动势信号的奇异特征进行提取,根据这些奇异特征,可实现对发电机转子绕组匝间短路故障的检测及故障点的定位。仿真分析表明,该方法适用于故障信号的奇异特征提取,适合于汽轮发电机转子绕组匝间短路故障的在线检测。Electromagneic characteristic of the interturn short circuit in turbo-generator rotor windings is analyzed. And a method of fault detection and diagnosis based on wavelet transform is presented. The method is based on the singularity characteristics of the induced electromotive force signal in the air gap.Simulation result shows that the wavelet analysis method is fit for on-line detecting fault of interturn short circuit in turbo-generator rotor windings.

关 键 词：小波分析 故障诊断 转子绕组 匝间短路 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]