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self-learned sparse atomics
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Select article: Blind source extraction of rolling bearings' multi-type faults based on self-learned sparse atomics
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Research article
First published July, 2019
Blind source extraction of rolling bearings' multi-type faults based on self-learned sparse atomics
Hong Chao Wang
Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science
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Select article: Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy
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Research article
First published January, 2021
Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy
HongChao Wang
,
WenLiao Du
Journal of Vibration and Control
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Select article: A new K -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault
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Research article
First published May, 2020
A new K -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault
Hongchao Wang
,
Wenliao Du
International Journal of Distributed Sensor Networks
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