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基于小波变换的大型电机定子绕组局部放电信号的检测与提取

Method Based on Wavelet Transform for Detecting Partial Discharge Signal on large Generator Stator Winding
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摘要 通过自行开发的局部放电监测系统在实验室条件下对定子绕组进行局部放电的测试,对局部放电信号进行小波分析和处理,并在Matlab中实现小波消噪和局部放电信号的特征量提取。测试结果证明了小波变换在局部放电监测系统应用中的有效性。 Partial discharge (PD) detection system is always affected by external interference, and sometimes the partial discharge signals are submerged in noises. The signals acquired must be preprocessed to obtain reliable partial discharge information. The partial discharge signals are muti-resolution analysed with the technique of wavelet, noises are detected and removed by the method of wavelet threshold. Experimented and tested on the stator winding by the developed intelligent on-line monitoring system of partial discharge, analyzing and processing the signal with wavelet analysis, use Matlab to get rid of noise and to extract the characteristics of PD signal. This test is presented to illustrate the validity of the wavelet transform applying in the partial discharge detection system.
出处 《黑龙江水专学报》 2007年第4期82-84,共3页 Journal of Heilongjiang Hydraulic Engineering College
基金 哈尔滨市科技创新人才研究专项基金(2006RFQXG049)
关键词 局部放电 小波变换 Matlab 消噪 partial discharge wavelet transform Matble noise elimination
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