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Research on reliability evaluation method of complex multistate system based on fuzzy fault tree

机译:基于模糊故障树的复杂多状态系统可靠性评估方法研究

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The failure mode of complex multistate system is uncertain, and the normal work probability or the failure probability of the system can not reflect the actual use of a single system. Users concern about whether the system works to a certain point of time then will fail, and then targeted for maintenance. How to evaluate the reliability of complex multistate system becomes an important research direction. In view of the above problems, a method of reliability evaluation of complex multistate system based on fuzzy fault tree was proposed in this paper. The mapping relationship between system set and fault tree set was established, and the system reliability evaluation analysis was transformed into fault tree analysis method: defined the reliability evaluation rules, established the “time - reliability” truth table of the units, established the reliability truth table of subsystems and complex systems at different time, and carried out the maintenance to the system. The evaluation rules of the method were expressed by a simple complex multistate system, and the effectiveness of the proposed method was proved.
机译:复杂的多状态系统的故障模式是不确定的,并且系统的正常工作概率或故障概率不能反映单个系统的实际使用情况。用户担心系统是否可以在某个时间点工作,然后会出现故障,然后进行维护。如何评价复杂多状态系统的可靠性成为重要的研究方向。针对上述问题,提出了一种基于模糊故障树的复杂多状态系统可靠性评估方法。建立了系统集与故障树集之间的映射关系,将系统可靠性评估分析转化为故障树分析方法:定义了可靠性评估规则,建立了单位“时间-可靠性”真值表,建立了可靠性真相子系统和复杂系统在不同时间的表,并对系统进行维护。通过一个简单的复杂多状态系统表达了该方法的评估规则,并证明了该方法的有效性。

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