Extraction and separation of transient components based on wavelet package

In this paper, through analyzing the characteristics of WPT and transient signal, a method of extracting and separating transient components based on wavelet packet is presented. During the process of seeking for the best tree, a new rule that is more appropriate than the least entropy rule for transient signal is used. So the best decomposition tree can be found, namely, the different transient components can be extracted which are very important for power quality analysis, pre-alarm of the fault, the reason analysis of the fault and treatment of the fault or abnormality of equipment. Using the method and the WPT best tree method based on the least entropy rule to decompose the same simulated transient signal, the results show that the proposed method is effective.