A Family of Health Indicators Induced by EOF for Condition Monitoring of Machinery-Reference-Cited by-同舟云学术

A Family of Health Indicators Induced by EOF for Condition Monitoring of Machinery

Published:2024-04-01 Issue:7 Volume:24 Page:10573-10583
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Zhecong¹^ORCID,Qiao Zijian¹^ORCID,Lin Lifeng¹,Yang Changpu¹,Zhu Ronghua²^ORCID

Affiliation:

1. Zhejiang Provincial Key Laboratory of Part Rolling Technology, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang, China

2. Laboratory of Yangjiang Offshore Wind Power, Yangjiang, Guangdong, China

Funder

National Natural Science Foundation of China

Project funded by China Postdoctoral Science Foundation

Zhejiang Provincial Postdoctoral Science Foundation

Ningbo Natural Science Foundation

Open Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10424419.pdf?arnumber=10424419

Reference38 articles.

1. Vibration Based Condition Monitoring: A Review

2. Bearing Condition Monitoring Methods for Electric Machines: A General Review

3. A summary of fault modelling and predictive health monitoring of rolling element bearings

4. Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring

5. Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis

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