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Reliability Modeling of Redundant Systems Considering CCF Based on DBN

机译:基于DBN的CCF考虑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:常见的原因失败(CCF)已成为冗余系统可靠性和可用性分析的热门话题。旨在在区分三次或更多失败时缺乏 - Factor模型,提出了多种错误震荡理论。在确定用于动态故障树(DFT)的最小剪切组和结构函数时,将动态贝叶斯网络(DBN)应用于传输DFT事件,并在节点之间表达因果关系。在CCF的显式建模基础上,考虑CCF过程建立了热备用(HSP)门,冷备(CSP)门和温暖备用(WSP)门的DBN模型。对于HSP门,所有故障过程都列在每个组件的应力事件层中。对于CSP门和WSP门,引入CCF节点和中间节点以表达因果关系。最后,控制单元及其改进类型作为示例。在考虑CCF时,通过参考相应的DFT结构来构建DBN模型。从结果中,显而易见的是,现代单元具有相对较高的可靠性和可用性。通过灵敏度分析,不太容易受到不确定性的不确定性和覆盖因子的影响。

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