面向飞行器发射控制系统可靠性提升的测试分析  

Test and Analysis of Reliability Improvement in Aircraft Launch Control System

作　　者：张子剑 姜利 龙中权 林海 刘虎 ZHANG Zijian;JIANG Li;LONG Zhongquan;LIN Hai;LIU Hu(Beijing Institute of Aerospace Systems Engineering,Beijing 100076,China)

机构地区：[1]北京宇航系统工程研究所,北京100076

出　　处：《计算机测量与控制》2022年第10期63-69,共7页Computer Measurement &Control

摘　　要：系统的可靠性与测试性密切相关,良好的测试性设计,可以提升系统的可靠性,一个可靠的系统不是通过最后的测试结果测试出来的,而是在设计中将测试性考虑其中,系统测试性对系统的基本可靠性有着很大的影响;为了找到飞行器发射控制系统最优测试项,对可靠性与测试性二者的关联进行深入研究,通过系统设计初期的结构组成进行测试性分析,建立系统多信号流图模型,研究系统的相关性矩阵,并进行系统的故障检测率、故障隔离率等参数分析;提出了基于测试覆盖度的遗传算法进行测试项的优化选择,通过此方法进行实验仿真找到系统的最优测试项,成功满足系统的故障检测率、故障隔离率要求,将改进的遗传算法和传统的遗传算法进行对比,改进后的算法有着更好的收敛性,对系统分析更好。The reliability of system is closely related to testability.A good testability design can improve the reliability of system.A reliable system is not tested by the final test results,but testability is considered in the design,which has a great influence on the basic reliability of the system.In order to find the optimal vehicle emission control system test,the association of the reliability and testability is deeply studied,through the system design of the early structure testability analysis,the system signal is established by the flow graph model,the system of the correlation matrix,and the system parameters such as fault detection rate and fault isolation rate analysis.The optimal selection of test items based on the test coverage of the genetic algorithm is proposed.This method is used to find out the optimal test item by the experimental simulation,the system fault detection rate and fault isolation rate requirement are successfully met,the improved genetic algorithm is compared with the traditional genetic algorithm,the improved algorithm has better convergence and analysis for the system.

关 键 词：飞行器发射控制 系统可靠性 故障树分析 遗传算法 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]