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Reliability Modeling of Redundant Systems Considering CCF Based on DBN

机译:基于DBN的考虑CCF的冗余系统可靠性建模

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Common cause failure (CCF) has become a hot topic in reliability and availability analysis of redundant systems. Aiming at the shortage of -factor model in distinguishing three or more failures, multiple error shock theory is put forward. Having the problem in determining minimal cut sets and structure functions for dynamic fault tree (DFT), dynamic Bayesian network (DBN) is applied to transit DFT events to corresponding nodes and express causal relations between the nodes. On the base of explicit modeling for CCF, DBN models for hot spare (HSP) gate, cold spare (CSP) gate and warm spare (WSP) gate are established considering CCF processes. For a HSP gate, all failure processes are listed in the stress event layer for each component. For a CSP gate and a WSP gate, CCF node and intermediate nodes are introduced to express causal relations. At last, a control unit and its improved type are taken as examples. The DBN models are built by referring to corresponding DFT structures when taking CCFs into consideration. From the results, it is obvious that the modern unit has a relative higher reliability and availability. And it is less easily influenced by uncertainty such as failure rates and coverage factor through sensitivity analysis.
机译:共因故障(CCF)已成为冗余系统可靠性和可用性分析中的热门话题。针对区分三个以上故障的因子模型的不足,提出了多重误差冲击理论。由于在确定动态故障树(DFT)的最小割集和结构函数方面存在问题,因此将动态贝叶斯网络(DBN)用于将DFT事件传输到相应的节点并表达节点之间的因果关系。在CCF显式建模的基础上,考虑CCF流程,建立了热备用(HSP)门,冷备用(CSP)门和热备用(WSP)门的DBN模型。对于HSP门,应力事件层中列出了每个组件的所有故障过程。对于CSP门和WSP门,引入CCF节点和中间节点来表达因果关系。最后以控制单元及其改进型为例。在考虑CCF时,通过引用相应的DFT结构来构建DBN模型。从结果可以明显看出,现代装置具有相对较高的可靠性和可用性。通过敏感性分析,它不太容易受到不确定性(例如故障率和覆盖因子)的影响。

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