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An Approach of Fault Diagnosis for System Based on Fuzzy Fault Tree

机译:基于模糊故障树的系统故障诊断方法

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Due to the complicacy of the communication control system (CCS) structure and the variations in operating conditions, the occurrence of a fault inside CCS is uncertain and random. Aiming at limitations of the current fault diagnosis of CCS, the paper presents an approach to fault diagnosis of fuzzy fusion based on fuzzy fault tree. Elaborated method considers the characteristic of diagnostic object to establish fuzzy fault tree, convert the index of fault rate into fuzzy number of fault rate, perform the fuzzy analysis for the fault tree, determine the confidence interval of probability of top event, and achieve fuzzy reasoning diagnosis result. The details of fuzzy number design are described in the paper and an application example of the method is also provided. The results show that the proposed fuzzy fault tree analysis method is effective and available for fault diagnose of CCS.
机译:由于通信控制系统(CCS)结构的复杂性和操作条件的变化,CCS内部故障的发生是不确定的和随机的。针对目前CCS故障诊断的局限性,提出了一种基于模糊故障树的模糊融合故障诊断方法。提出的方法结合诊断对象的特点,建立模糊故障树,将故障率指标转换为故障率模糊数,对故障树进行模糊分析,确定重大事件概率的置信区间,实现模糊推理。诊断结果。文中描述了模糊数设计的细节,并提供了该方法的应用示例。结果表明,所提出的模糊故障树分析方法是有效的,可用于CCS的故障诊断。

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