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Small sample rolling bearing compound fault diagnosis based on improved VME and mRVM
更新时间：2026-01-23

    • Small sample rolling bearing compound fault diagnosis based on improved VME and mRVM

    • “In the field of signal processing, experts have proposed a signal extraction method that combines VMD, LE, and VME, using mRVM and DS evidence theory for intelligent fault diagnosis, effectively processing small sample data.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 12, Pages: 3831-3839(2025)
    • 作者机构：

      1.沈阳航空航天大学 自动化学院，沈阳 110136

      2.沈阳飞机工业（集团）有限公司，沈阳 11000

    • DOI：10.13229/j.cnki.jdxbgxb.20240528    

      CLC： TH17;TP277

    • Received：11 May 2024，

      Published：01 December 2025

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  • FENG Zhi-gang,ZHANG Zhi-yuan,DONG Bing,et al.Small sample rolling bearing compound fault diagnosis based on improved VME and mRVM[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(12):3831-3839. DOI： 10.13229/j.cnki.jdxbgxb.20240528.

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