Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit|更新时间:2026-02-24
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Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model
“Experts propose a new method to predict the remaining life of locomotive bearings using composite multiscale entropy and improved models, providing guarantees for the safe operation of locomotives.”
Electric Drive for LocomotivesIssue 5, Pages: 121-127(2025)
ZHAO Qingguo, YANG Jiangtian. Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model[J]. Electric drive for locomotives,2025(5): 121-127.
ZHAO Qingguo, YANG Jiangtian. Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model[J]. Electric drive for locomotives,2025(5): 121-127.DOI:10.13890/j.issn.1000-128X.2025.05.103.
Locomotive bearing fault diagnosis using hybrid entropy and combined forecasting model