希尔伯特-黄变换与小波变换在故障特征提取中的对比研究

Research and Comparison on the Application of Hilbert-Huang Transform and Wavelet Transform to Fault Feature Extraction

研究了希尔伯特-黄变换(HHT)和小波变换(WT)在故障特征提取中的应用。以电源系统三相短路故障为例,针对无畸变和有畸变两种故障电压信号,采用HHT和WT提取故障特征。对比了仿真结果并分析了WT存在的问题。得出对于故障造成信号包络变化但频率基本不变的信号,HHT比WT的故障特征提取更有效。

The applications of the Hilbert-Huang transform （HHT） and wavelet transform （WT） to fault feature extraction were studied. Taking the three-phase short fault in power system for example, the fault features were extracted by HHT and WT of fault voltage signals with and without aberration. The simulated results by HHT were compared with those by WT and the shortcomings of WT were analyzed. It is concluded that HHT is more valid than WT in the fault feature extraction, especially under the condition that the fault signal has the envelop variety but its frequency hardly changes.