A Multisensor Approach Integrating Cyclostationary Analysis and Evidence Theory for Explainable Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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A Multisensor Approach Integrating Cyclostationary Analysis and Evidence Theory for Explainable Bearing Fault Diagnosis

Published:2024-06-01 Issue:11 Volume:24 Page:17885-17895
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Feiyang¹,Liu Yanchao²,Wang Yan³,Wu Kelin⁴^ORCID,Wu Dazhuan¹^ORCID

Affiliation:

1. College of Energy Engineering, Zhejiang University, Hangzhou, China

2. Fujian Fuqing Nuclear Power Company Ltd., Fuqing, China

3. Nuclear Power Institute of China, Chengdu, China

4. College of Ocean Engineering, Zhejiang University, Hangzhou, China

Funder

China Postdoctoral Science Foundation

Fujian Fuqing Nuclear Power Co., Ltd

Nuclear Power Institute of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10546898/10500307.pdf?arnumber=10500307

Reference38 articles.

1. Machinery health prognostics: A systematic review from data acquisition to RUL prediction

2. Rolling element bearing diagnostics—A tutorial

3. Measurement of spectral correlation

4. THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS

5. Fast computation of the spectral correlation

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