基于人工智能的电力电子变换器开路故障诊断研究综述

Translated title of the contribution: Review for AI-based Open-circuit Faults Diagnosis Methods in Power Electronics Converters
  • Chuang Liu*
  • , Lei Kou
  • , Guowei Cai
  • , Zihan Zhao
  • , Zhe Zhang
  • *Corresponding author for this work

    Research output: Contribution to journalReviewpeer-review

    Abstract

    Power electronics converters have been widely used in aerospace system, DC transmission, distributed energy, smart grid and so forth, and their reliability has been a hot spot in academia and industry. It is of great significance to carry out power electronics converters open-circuit faults monitoring and intelligent fault diagnosis to avoid secondary faults, reduce time and cost of operation and maintenance, and improve the reliability of power electronics system. Firstly, the faults features of power electronic converters are analyzed and summarized. Secondly, some AI-based fault diagnosis methods and application examples with power electronics converters are reviewed, and a fault diagnosis method based on the combination of random forests and transient fault features is proposed for the three-phase power electronics converters. Finally, the future research challenges and directions of AI-based fault diagnosis methods are pointed out.

    Translated title of the contributionReview for AI-based Open-circuit Faults Diagnosis Methods in Power Electronics Converters
    Original languageChinese
    JournalDianwang Jishu/Power System Technology
    Volume44
    Issue number8
    Pages (from-to)2957-2970
    ISSN1000-3673
    DOIs
    Publication statusPublished - 5 Aug 2020

    Keywords

    • Artificial intelligence (AI)
    • Data-driven
    • Faults diagnosis
    • Faults location
    • Open-circuit faults
    • Power electronics converters

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