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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
    • 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 Locomotives   Issue 5, Pages: 121-127(2025)
    • DOI:10.13890/j.issn.1000-128X.2025.05.103    

      CLC: U260.331+.2;TH133.33
    • Received:16 August 2024,

      Revised:2025-06-08,

      Published:10 September 2025

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  • 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.

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