数据驱动的武器系统电子元部件级故障诊断研究综述

电子元部件级状态监测与故障诊断技术是武器装备维修保障的关键，是武器系统作战效能保持和快速恢复的可靠保障。随着数据获取、存储及挖掘技术的快速发展，基于数据驱动的智能诊断方法逐渐成为状态监测与故障诊断领域的重要研究方向。武器系统电子元部件集成形式多样、工作环境复杂、参数指标多、故障模式动态耦合，给故障诊断工程实现带来了严峻的挑战，特别是数据质量问题、故障诊断方法与应用问题以及复杂运行环境下未知故障模式识别问题。针对当前武器系统电子元部件级故障诊断对象、数据驱动的诊断方法以及面临的主要问题进行简要综述，在总结国内外已有研究成果的基础上，指出了在未来实现武器系统电子元部件级的状态监测与在线故障诊断技术的发展趋势。

Review on data-driven fault diagnosis for electronic components and units level of weapon system

Electronic components and units level state monitoring and fault diagnosis technology is the key of weapon equipment maintenance support,and which is the reliable guarantee of weapon system combat effectiveness maintenance and rapid recovery.With the rapid development of data acquisition,storage and mining technology,the intelligent diagnosis method based on data-driven has gradually become an important research direction in the field of state monitoring and fault diagnosis.The integration of electronic components and units of weapon system is diverse,the working environment is complex,the parameters are multiple,and the fault modes are coupled dynamically,which brings severe challenges to the realization of fault diagnosis engineering,especially the problems of data quality,fault diagnosis method and application,and unknown fault pattern recognition in complex operating environment.The fault diagnosis objects,diagnosis methods of data-driven and main problems of electronic components and units level of weapon system are briefly reviewed.Based on the research results at home and abroad,the development trend of state monitoring and on-line fault diagnosis technology of electronic components and units level of weapon system in the future are pointed out.