A New Monitoring Technology for Bearing Fault Detection in High-Speed Trains
Author:
Affiliation:
1. School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266000, China
2. Department of Mechanical and Mechatronics Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
Abstract
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/14/6392/pdf
Reference33 articles.
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2. A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions;Zhang;J. Low Freq. Noise Vib. Act. Control,2023
3. Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives;Chen;IEEE Trans. Intell. Transp. Syst.,2020
4. Zhen, D., Guo, J., Xu, Y., Zhang, H., and Gu, F. (2019). A novel fault detection method for rolling bearings based on non-stationary vibration signature analysis. Sensors, 19.
5. Perspectives on railway axle bearing condition monitoring;Entezami;Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit,2020
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