The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带,并进行了量化分析。
2
The characteristic frequency band of the fault could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带,并进行了量化分析。
3
In this paper, by using DFT filter bank and ZFFT, we present an algorithm of spectrumanalysis for the wide band signal.