数据驱动的武器系统电子元部件级故障诊断研究综述

doi:10.12305/j.issn.1001-506X.2021.02.33

Abstract

Abstract:

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.

Key words: data-driven, weapon system, electronic component and unit, state monitoring, fault diagnosis

CLC Number:

TJ07

Chen MENG, Huahui YANG, Cheng WANG, Zheng MA. Review on data-driven fault diagnosis for electronic components and units level of weapon system[J]. Systems Engineering and Electronics, 2021, 43(2): 574-583.

Figures/Tables 8

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多元统计方法	高斯分布	非高斯分布	静态过程	动态过程	线性问题	非线性问题
主成分分析	√	—	√	—	√	—
独立分量分析	√	√	√	—	√	—
偏最小二乘	√	—	√	—	√	—
线性判别分析	√	—	√	—	√	—
Fisher判别分析	√	—	√	—	√	—
标准变量分析	√	—	√	√	√	—
聚类分析	√	√	√	√	√	√

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

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