基于改进合同网的复杂装备故障诊断方法

A Fault Diagnosis Method of Complex Equipment Based on Improved CNP

针对复杂装备故障诊断任务分配与结果融合问题,给出了地空导弹故障诊断任务模型的描述,将案例推理与合同网任务分配方法相结合,弥补了合同网对经验知识利用不足的弱点;对传统合同网的任务分配方法进行了改进,给出了具体的算法流程描述,对招标范围和中标评估策略进行了深入研究;针对多资源参与下故障诊断结果冲突的情况,将诊断结果模糊融合算法进行了改进,实例融合结果表明其能有效修正群体决策中的偏差。

Aimed at the problems of the task assignment and results fusion in fault diagnosis of the complex equipment,a certain type of ground-to-air missile fault diagnosis task model is described to make up for the weakness of CNP underutilization of empirical knowledge,and the case-based reasoning and CNP are combined.The traditional CNP task assignment method is improved,the detail description of algorithm is given,and the scope of the tender and the bid evaluation strategies are studied deeply.In order to solve the diagnosis results conflicts for the involvement of multiple diagnosis resource,the diagnosis fuzzy fusion algorithm is improved.The example of fusion results shows that the deviation of group decision can be corrected effectively.