A hybrid time-frequency method based on improved Morlet wavelet and auto terms window

作者: Wenyi Liu , Baoping Tang

DOI: 10.1016/J.ESWA.2010.12.107

关键词: Morlet waveletMathematicsWavelet packet decompositionPattern recognitionNoise (signal processing)Artificial intelligenceFilter (signal processing)Continuous waveletWindow functionWaveletSecond-generation wavelet transform

摘要: Research highlights? The hybrid time-frequency method is based on Morlet wavelet and auto terms window. ? parameters are optimized by cross validation minimum Shannon entropy method. useless noise in the original signal can be filtered CWT filter de-noising process. Wigner-Ville Distribution suppressed ATW. In this paper, a (HTM) improved window (ATW) presented. wavelet, for its shape similar to mechanical shock signals, added two which decide of mother wavelet. appropriate scale parameter continuous transformation (CWT) calculated using (CVM) An ATW Smoothed Pseudo (SPWVD) spectrum designed as function suppress (WVD). gear fault diagnosis experiment results show that proposed has good de-nosing performance effective removing extracting feature.

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