Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation
Author:
Affiliation:
1. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
2. School of Automobile and Transportation, Xihua University, Chengdu, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
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