论文:2021,Vol:39,Issue(1):71-76
引用本文:
徐钊, 张一童, 潘震, 池程芝, 刘晓斌. DC-DC变换器的典型故障分类方法研究[J]. 西北工业大学学报
XU Zhao, ZHANG Yitong, PAN Zhen, CHI Chengzhi, LIU Xiaobin. Research on typical fault classification method of DC-DC converter[J]. Northwestern polytechnical university

DC-DC变换器的典型故障分类方法研究
徐钊1, 张一童1, 潘震2, 池程芝2, 刘晓斌3
1. 西北工业大学 电子信息学院, 陕西 西安 710129;
2. 中国航空无线电电子研究所 航空电子系统综合技术重点实验室, 上海 200233;
3. 西安现代控制技术研究所, 陕西 西安 710065
摘要:
DC-DC变换器是综合模块化航电的电源转换模块的核心部件,对其进行状态监测以及故障诊断可以有效提高设备的可靠性,减少维修保障费用,极大地提高飞机的使用效能。基于PSPICE仿真软件,采用Sepic拓扑结构,设计了DC-DC变换器模型,并对DC-DC变换器的失效规律进行了分析;对DC-DC变换器的典型故障类型进行故障模拟,通过仿真获取相应的原始数据;采用数据预处理、特征提取与选择、多模型融合的处理框架对DC-DC变换器进行故障诊断分析。仿真验证了方法的有效性。
关键词:    DC-DC变换器    特征提取    故障分类    多模型融合   
Research on typical fault classification method of DC-DC converter
XU Zhao1, ZHANG Yitong1, PAN Zhen2, CHI Chengzhi2, LIU Xiaobin3
1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China;
2. Science and Technology on Avionics Integration Laboratory, China Institute of Aeronautical Radio Electronics, Shanghai 200233, China;
3. Xi'an Modern Control Technology Research Institute, Xi'an 710065, China
Abstract:
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.
Key words:    DC-DC converter    failure modes    feature extraction    fault classification    multi model fusion    simulation    SEPIC topology   
收稿日期: 2020-07-12     修回日期:
DOI: 10.1051/jnwpu/20213910071
基金项目: 国家自然科学基金(61803309,61603303)、航空科学基金(20185553034)、中国博士后科学基金(2018M633574)与陕西省自然科学基金(2019JM-254)资助
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作者简介: 徐钊(1982-),女,西北工业大学副教授,主要从事多无人机网络控制、寿命预测与健康管理研究。
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参考文献:
[1] 许明轩. 飞机航电系统故障分析方法与故障诊断技术研究[J]. 中国设备工程, 2018, 399(14):102-103 XU Mingxuan. Research on fault analysis method and fault diagnosis technology of aircraft avionics system[J]. China Plant Engineering, 2018, 399(14): 102-103(in Chinese)
[2] PLATUS D L. Negative-stiffness-mechanism vibration isolation system[C]//Proceedings of the SPIE-the International Society for Optical Engineering, 1999: 98-105
[3] SONG Fuchao, HOU Wenkui, SHI Long. The information-enhanced fault diagnosis system design of avionics power supply module[C]//2013 International Conference on Quality Reliebility, Rish, Maintenance, and Safety Engineering, 2013
[4] IZADIAN A, KHAYYER P. Application of Kalman filters in model-based fault diagnosis of a DC-DC boost converter[C]//36th Annual Conference on IEEE Industrial Electronics Society, Glendale, AZ, 2010: 369-372
[5] PARK T, KIM T. Novel fault tolerant power conversion system for hybrid electric vehicles[C]//2011 IEEE Vehicle Power and Propulsion Conference, Chicago, 2011: 1-6
[6] KIM S Y, NAM K, SONG H, et al. Fault diagnosis of a ZVS DC-DC converter based on DC-link current pulse shapes[J]. IEEE Trans on Industrial Electronics, 2008, 55(3): 1491-1494
[7] RIBEIRO E, CARDOSO A J M, BOCCALETTI C. Fault-tolerant strategy for a photovoltaic DC-DC converter[J]. IEEE Trans on Power Electronics, 2013, 28(6): 3008-3018
[8] Sheng H, Wang F, Tipton C W. A fault detection and protection scheme for three-level DC-DC converters based on monitoring flying capacitor voltage[J]. IEEE Trans on Power Electronics, 2012, 27(2): 685-697
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