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DC-DC变换器的典型故障分类方法研究

  • Zhao Xu
  • , Yitong Zhang
  • , Zhen Pan
  • , Chengzhi Chi
  • , Xiaobin Liu
  • Northwestern Polytechnical University Xian
  • China National Aeronautical Radio Electronics Research Institute
  • Xi'an Modern Control Technology Research Institute

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

DC-DC converter is the core component of power conversion module of integrated modular avionics. Condition monitoring and fault diagnosis of DC-DC converter can effectively improve the reliability of avionics equipment, reduce the maintenance cost and greatly improve the use efficiency of aircraft. In this paper, firstly, a typical DC-DC converter model based on SEPIC topology is designed in PSPICE environment, and the failure modes of DC-DC converter are analyzed. Secondly, the typical fault types of DC-DC converter are simulated, and the corresponding original data are obtained through simulation. Finally, the processing framework including data preprocessing, feature extraction and selection, and multi model fusion is used to do fault classification of the DC-DC converter. The fault diagnosis of the converter is simulated. Simulation results show the effectiveness of the proposed method.

投稿的翻译标题Research on typical fault classification method of DC-DC converter
源语言繁体中文
页(从-至)71-76
页数6
期刊Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
39
1
DOI
出版状态已出版 - 2月 2021

关键词

  • DC-DC converter
  • Failure modes
  • Fault classification
  • Feature extraction
  • Multi model fusion
  • SEPIC topology
  • Simulation

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