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在分析并行测试系统开放式体系结构的基础上,给出了系统并行故障诊断的概念和定义,并将模糊c均值聚类算法引入到并行故障诊断领域;探讨了利用该算法对多个UUT同时进行故障诊断的实现问题,设计了算法步骤,并以对某型导弹发射装置电子部件的几类典型故障的诊断为例对算法有效性和可行性进行了验证;结果表明,运用模糊聚类算法能够有效提高测试系统的故障诊断效率,增强测试系统的故障识别和定位能力,解决系统对多个同类型UUT并行故障诊断的问题。
Based on the analysis of open architecture of parallel test system, the conception and definition of system parallel fault diagnosis are given, and the fuzzy c-means clustering algorithm is introduced into the field of parallel fault diagnosis. In the meantime, The algorithm steps are designed and the diagnosis of several typical faults of the electronic components of a missile launcher is taken as an example to verify the validity and feasibility of the algorithm. The results show that using fuzzy clustering algorithm Which can effectively improve the fault diagnosis efficiency of the test system, enhance the fault recognition and positioning ability of the test system, and solve the problem that the system diagnoses parallel faults of multiple UUTs of the same type.