Autonomous Bearing Fault Diagnosis Based on Fault-Induced Envelope Spectrum and Moving Peaks-Over-Threshold Approach-Reference-Cited by-同舟云学术

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Autonomous Bearing Fault Diagnosis Based on Fault-Induced Envelope Spectrum and Moving Peaks-Over-Threshold Approach

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xin Ge¹^ORCID,Zhong Qitian¹^ORCID,Jin Yaqiang²^ORCID,Li Zhe¹^ORCID,Chen Yifei¹^ORCID,Li Yan-Fu³^ORCID,Antoni Jérôme⁴^ORCID

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

2. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao, China

3. Department of Industrial Engineering, Tsinghua University, Beijing, China

4. Laboratory of Vibration and Acoustics, INSA Lyon, University of Lyon, Villeurbanne, France

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10480374.pdf?arnumber=10480374

Reference35 articles.

1. Rolling element bearing diagnostics—A tutorial

2. Vibration-based bearing fault diagnosis of high-speed trains: A literature review

3. Bearing Fault Detection Via B-spline Constructed Sparse Method

4. Towards automated, integrated and unsupervised diagnosis of rolling element bearings

5. A Reinforced Noise Resistant Correlation Method for Bearing Condition Monitoring

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