A new fault feature for rolling bearing fault diagnosis under varying speed conditions
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, China University of Mining & Technology, Xuzhou, P.R. China
Funder
National Natural Science Foundation of China
Publisher
SAGE Publications
Subject
Mechanical Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/1687814017703897
Reference32 articles.
1. A new rolling bearing fault diagnosis method based on GFT impulse component extraction
2. Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery
3. Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
4. Normalization of vibration signals generated under highly varying speed and load with application to signal separation
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