PDF(958 KB)
PDF(958 KB)
PDF(958 KB)
小波分析在变压器绕组故障识别中的应用
Transformer Winding Fault Recognition Based on Wavelet Technology
利用小波技术分析了绕组单点局部放电、2 点局部放电模式下绕组各分段检测到的电压波形特征,计算了故障电压信号分解重构后低频与高频部分的小波能量函数值。计算结果表明,小波分析所得到的能量函数能较好地提取绕组中局部放电故障的信号特征,可为绕组局部放电模式识别和故障定位提供指导。
Wavelet technology is used to analyze the voltage waveform characteristics of every winding subsection under the respective mode of single-point partial discharge (PD) and double-point PD, and to compute the function value of wavelet energy of fault signal after reconstruction. The results indicate that the function value obtained by wavelet analysis can well distill the characteristics of fault signals in coil, which may provide a guidance for PD pattern recognition and fault location of transformer winding.
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