Research on Fault Feature Extraction Method Based on FDM-RobustICA and MOMEDA

Research on Fault Feature Extraction Method Based on FDM-RobustICA and MOMEDA

Aiming at the difficulty of extracting rolling bearing fault features under strong background noise conditions, a method based on the Fourier decomposition method (FDM), robust independent component analysis (RobustICA), and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) is propo...

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Bibliographic Details
Main Authors: Jingzong Yang, Xuefeng Li, Limei Wu
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/6753949

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