Wavelet Transform-based Higher-order Statistics for Fault Diagnosis in Rolling Element Bearings:

作者: Fucai Li , Guang Meng , Lin Ye , Peng Chen

DOI: 10.1177/1077546308091214

关键词: WaveletElectronic engineeringEngineeringWavelet packet decompositionStationary wavelet transformSecond-generation wavelet transformLifting schemeHarmonic wavelet transformDiscrete wavelet transformWavelet transformAlgorithm

摘要: Signal processing plays a pivotal role in fault diagnostics of mechanical systems. An approach, viz. wavelet transform-based higher-order statistics, was developed this paper for diagnosis rolling element bearings. In the transform (discrete and packet transform) introduced into fourth-order statistic, kurtosis. Thereinto, discrete kurtosis (DWTK) applied to signals get higher resolution low-frequency bands1 on other hand, (WPTK) obtain relatively high high-frequency bands comparison with DWTK. DWTK, WPTK (WTK) curves were calibrate in-field benchmark signals, whereby non-stationary transients singularity vibration attributed damage detected. WTK collected from bearing different se...

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