Unsupervised feature learning with reconstruction sparse filtering for intelligent fault diagnosis of rotating machinery
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference49 articles.
1. General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis;Zhang;Mech. Syst. Signal Process.,2019
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4. A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis;Mao;Mech. Syst. Signal Process.,2021
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