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Infrared image-based fault diagnosis of asynchronous motor based on cross-paradigm feature fusion and few-shot learning
ANALYSIS AND RESEARCH | 更新时间：2026-01-14

    • Infrared image-based fault diagnosis of asynchronous motor based on cross-paradigm feature fusion and few-shot learning

    • “In the field of infrared image fault diagnosis for asynchronous motors, experts have proposed a fault diagnosis model based on CPFF and small sample learning, providing a solution for fault diagnosis under small sample conditions.”
    • Electric Power Automation Equipment   Vol. 46, Issue 1, Pages: 202-208(2026)

    • DOI：10.16081/j.epae.202507001    

      CLC： TM307

    • Received：08 January 2025，

      Revised：2025-05-27，

      Published：10 January 2026

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  • XU Boqiang,WU Yongshi,YIN Yanbo,et al.Infrared image-based fault diagnosis of asynchronous motor based on cross-paradigm feature fusion and few-shot learning[J].Electric Power Automation Equipment,2026,46(01):202-208. DOI： 10.16081/j.epae.202507001.

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