An Adaptive Spectrum Segmentation Method to Optimize Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis

Bearings play an important role in the industrial system. Among all kinds of diagnosis methods, empirical wavelet transform has been widely used for its characteristic of separating empirical modes from the spectrum. Although the empirical wavelet transform restrains the mode aliasing of extracting...

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Bibliographic Details
Main Authors: Yonggang Xu, Kun Zhang, Chaoyong Ma, Zhipeng Sheng, Hongchen Shen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8657932/