Research on typical fault classification method of DC-DC converter

DC-DC变换器的典型故障分类方法研究

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

Received: 12 July 2020

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.

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。