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Optimization methods for key elements in intelligent diagnosis of open-circuit faults in power electronic inverters
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Xin TANG1, 2, Haolan SHEN1, Yifei LUO1, 2, *, Binli LIU1, 2, Yongle HUANG1, 2, Xin LI1, 2
Journal of National Niversity of Defense Technology | 2025, 47(6) : 106 - 118
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Journal of National Niversity of Defense Technology | 2025, 47(6): 106-118
• State Monitoring Technology for Electric Machine System •
Optimization methods for key elements in intelligent diagnosis of open-circuit faults in power electronic inverters
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Xin TANG1, 2, Haolan SHEN1, Yifei LUO1, 2, *, Binli LIU1, 2, Yongle HUANG1, 2, Xin LI1, 2
Affiliations
  • 1.National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
  • 2.East Lake Laboratory, Wuhan 430205, China
Published: 2025-12-28 doi: 10.11887/j.issn.1001-2486.25060032
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To address the challenges of intelligent diagnosis for open-circuit faults in power electronic inverters, such as the lack of actual fault samples and the issue of varying characteristic adaptability, a set of optimization methods was proposed from two key intelligent elements:data and algorithm, to support the practical applications of intelligent diagnosis for open-circuit faults in power electronic inverters.For the data element, a fault sample amplification method based on inverters′characteristics was proposed, which finds out the minimum number of practical samples required for model training.For the algorithm element, an attention-enhanced method and a frequency points adaptive training method for the diagnosis model were proposed, which significantly improve model training effectiveness and diagnosis accuracy under wide-frequency inverter operation.The effectiveness of the proposed optimization methods for the intelligent elements was validated by experiments.

inverter  /  open-circuit fault diagnosis  /  artificial neural network  /  intelligent element  /  optimization method
Xin TANG, Haolan SHEN, Yifei LUO, Binli LIU, Yongle HUANG, Xin LI. Optimization methods for key elements in intelligent diagnosis of open-circuit faults in power electronic inverters[J]. Journal of National Niversity of Defense Technology, 2025 , 47 (6) : 106 -118 . DOI: 10.11887/j.issn.1001-2486.25060032
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Year 2025 volume 47 Issue 6
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doi: 10.11887/j.issn.1001-2486.25060032
  • Receive Date：2025-06-27
  • Online Date：2026-04-16
  • Published：2025-12-28
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  • Received：2025-06-27
Affiliations
    1.National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
    2.East Lake Laboratory, Wuhan 430205, China
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