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基于多信号流图模型的导弹系统级测试性设计研究
引用本文:韩 露,史贤俊,翟禹尧,林 云. 基于多信号流图模型的导弹系统级测试性设计研究[J]. 电子测量与仪器学报, 2021, 35(5): 111-119
作者姓名:韩 露  史贤俊  翟禹尧  林 云
作者单位:海军航空大学 岸防兵学院 烟台 264000
摘    要:针对导弹长时间贮存,一次性使用特点,开展测试性设计工作难度较大的问题,提出采用多信号流图模型对导弹系统进行测试性设计研究.根据故障模式、影响及危害性分析(FMECA)信息确定系统的故障模式,采用多信号流图模型建立导弹系统级测试性模型,根据可达性算法得到故障-测试相关性矩阵,确定系统的测试性指标.考虑到现有算法如遗传算法...

关 键 词:测试性设计  多信号流图模型  相关性矩阵  测试性指标  混合离散二进制粒子群-遗传算法  测试优化选取

Research on testability design method of missile systembased on multi-signal model
Han Lu,Shi Xianjun,Zhai Yuyao,Lin Yun. Research on testability design method of missile systembased on multi-signal model[J]. Journal of Electronic Measurement and Instrument, 2021, 35(5): 111-119
Authors:Han Lu  Shi Xianjun  Zhai Yuyao  Lin Yun
Affiliation:1.School of Coast Defence Arm, Naval Aviation University
Abstract:Aiming at the problem that missiles are difficult to carry out testability design due to their own characteristics, a multi-signalmodel for testability design of missile systems is proposed. Based on the FMECA information, the failure mode in the system isdetermined, and the multi-signal model is used to establish a test model of the missile system. The correlation matrix of the fault-test isobtained and the system testability index is determined. Considering the shortcomings of existing algorithms such as genetic algorithm andbinary particle swarm algorithm, a hybrid discrete binary particle swarm-genetic algorithm is proposed to optimize the test, reduced 22candidate tests to 14, greatly reducing the number of tests. Finally, the experimental results show that the proposed algorithm can meetthe accuracy requirements of testability index, and effectively reduce the number of tests and test costs.
Keywords:testability design   multi-signal model   correlation matrix   testability index   hybrid discrete binary particle swarmoptimization-genetic algorithm   test optimization selection
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