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27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)

作者： Song, Kangning Zhou, Siwei Ye, Luyao Liu, Piaoyi Tian, Jing Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China

ISBN: (纸本)9781665485555

The irrelevance coverage model (ICM) is an extension of the imperfect fault coverage model (IFCM), which considers both uncovered failure and component irrelevance. In the ICM, an irrelevant component cannot occur an uncovered failure since it will be isolated (shutdown) from the system. In traditional ICM, the irrelevant component is triggered by a covered component failure. However, in the multi-state system (MSS), the degrade state of the operational components may also cause the other component to be irrelevant. To address this issue, the minimal irrelevance trigger (MIT) is redefined for the MSS by analyzing the relation between component states and system demand. Further, we extend the ICM to the MSS. We apply multi-state multi-valued decision diagram (MMDD) to calculate the reliability of the MSS in the ICM. The experimental result shows that not only the failure of component but also the deterioration of component may lead to component becoming irrelevant in the MSS.

关键词： multi-state system imperfect fault coverage model irrelevance coverage model reliability

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Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2022年 224卷 1页

作者： Zhou, Siwei Ye, Luyao Xiong, Shengwu Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan 430070 Peoples R China

The irrelevance coverage model (ICM) is an extension of the imperfect fault coverage model (IFCM), which can reduce the risk of uncovered component failures by isolating irrelevant components in systems. However, the ICM has been limited to static systems so far. To address this issue, we extend the ICM to dynamic systems modeled by dynamic fault trees (DFTs) with Priority-AND (PAND) gates. The component irrelevance is analyzed in the DFTs, which shows a component could become irrelevant due to specific sequence failures of some other components, and the implication of irrelevancy may differ from that in static systems. The definition of minimal irrelevance triggers (MITs) and the reduction rules are introduced based on the temporal algebraic framework. The sum of disjoint products (SDP) method is further applied for the quantitative analysis of system reliability. Case studies demonstrate the effectiveness of our method. Furthermore, the ICM can also play a role in the dynamic systems in terms of reliability improvement compared to the IFCM.

关键词： Imperfect fault coverage model irrelevance coverage model Reliability analysis Dynamic fault tree Priority-AND gate

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Reliability-redundancy allocation problem considering imperfect fault coverage 21

Reliability-redundancy allocation problem considering imperf...

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21st IEEE International Conference on Software Quality, Reliability and Security (QRS)

作者： Wang, Zixiang Zhou, Siwei Zhao, Dongdong Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China

ISBN: (纸本)9781665458139

The reliability-redundancy allocation problem (RRAP) has been widely investigated during the last decade. In most of existing studies, component failures are assumed to be covered perfectly which means all faults can be timely detected, located, and isolated. However, the coverage could be imperfect in reality and a not-covered component failure may lead to system failure without constraint. In this paper, the RRAP is solved considering the imperfect fault coverage model (IFCM, only faulty components can be covered) and the irrelevance coverage model (ICM, both faulty and irrelevant components can be covered). It has been proved that an excessive level of redundancy may reduce the system reliability rather than improve it when the fault coverage is imperfect. Therefore, when the IFCM and the ICM are considered in the RRAP, in addition to resource constraints, the coverage model itself also limits the level of redundancy. Three benchmark problems are investigated in this paper. The genetic algorithm is adopted to solve the new mixed integer nonlinear programming problem. The results show that the optimal designs of system in the two coverage models are different from the existing researches that only consider the perfect fault coverage model. The redundant components used in the optimal solution are less than the existing studies. The advantage of the ICM over the IFCM is also verified in this paper.

关键词： reliability-redundancy allocation problems imperfect fault coverage model irrelevance coverage model genetic algorithm

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