Bearings Fault Detection Using Wavelet Transform and Generalized Gaussian Density Modeling
Measurement(2020)
摘要
•A novel bearings fault detection method based on wavelet transform and GGD modeling is presented.•GGD is used to model the marginal distribution of wavelet coefficients.•A GGD-based feature descriptor is generated by the maximum likelihood method.•The method improves the fault detection accuracy compared with traditional approaches.
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关键词
Bearings fault detection,Wavelet,Energy spectrum,Gaussian,Generalized Gaussian density
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