改进的基于互测PMC模型的系统级故障诊断集团算法  

Improving on Node Grouping Algorithms in System-level Fault Diagnosis of PMC Model Based on Ex-test

作　　者：谢兵[1] 张大方[2] 刘兵[2] 

机构地区：[1]邵阳学院计算机系,湖南邵阳422000 [2]湖南大学计算机与通信学院,湖南长沙410082

出　　处：《计算机仿真》2003年第6期47-49,共3页Computer Simulation

摘　　要：该文改进了基于互测PMC模型的系统级故障诊断集团算法的理论 ,通过定义集团测试边和绝对故障集 ,简化了集团诊断图 ,由此能较易地找到所有的基于互测PMC模型的相容故障模式 (即使不满足t-可诊断性 ) ,从而大大减少了系统级故障诊断的复杂度 ,尤其是对强t-可诊断系统。This article improves on the theory of Node Grouping Algorithms in System-level Fault Diagnosis of PMC Model Based on Ex-test. By defining the Group's testing edge and the absolute fault sets, the Group diagnosis chart is simplified ,so all the CFP of PMC model based on ex-test can be easily found even if the condition of the t-diagnosable isn't satisfied. Hence the complexity of system fault diagnosis is greatly decreased, especially in the strong t-diagnosable system.

关 键 词：系统级故障诊断集团算法 相容故障模式 PMC模型 集团诊断图 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]