A novel feature extraction algorithm for bearing fault diagnosis based on enhanced symbolic aggregate approximation
Author:
Affiliation:
1. Institute for Ocean Engineering, China University of Petroleum-Beijing, Beijing, China
2. College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference36 articles.
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1. Parallel symbolic aggregate approximation and its application in intelligent fault diagnosis;Journal of Intelligent & Fuzzy Systems;2023-04-03
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4. A Novel Feature Extraction Approach for Mechanical Fault Diagnosis Based on ESAX and BoW Model;IEEE Transactions on Instrumentation and Measurement;2022
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