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 |
| 卷 | 39 |
| 期 | 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
指纹
探究 'DC-DC变换器的典型故障分类方法研究' 的科研主题。它们共同构成独一无二的指纹。引用此
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