2019
DOI: 10.1108/ec-05-2019-0241
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Reliability analysis for complex systems based on generalized stochastic petri nets and EDA approach considering common cause failure

Abstract: Purpose This paper aims to deal with the problems of failure dependence and common cause failure (CCF) that arise in reliability analysis of complex systems. Design/methodology/approach Firstly, a dynamic fault tree (DFT) is used to capture the dynamic failure behaviours and converted into an equivalent generalized stochastic petri net (GSPN) for quantitative analysis. Secondly, an efficient decomposition and aggregation (EDA) theory is combined with GSPN to deal with the CCF problem, which exists in redunda… Show more

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Cited by 8 publications
(9 citation statements)
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References 38 publications
(35 reference statements)
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“…After transforming the dynamic fault tree into the corresponding dynamic evidence network, some reliability parameters can be calculated using the software simulation and reasoning algorithm (Zeng et al, 2019). In this section, the definition and calculation formula of some reliability results such as system reliability, diagnostic importance factor (DIF) and Birnbaum importance measure (BIM) will be introduced in detail.…”
Section: Calculating Reliability Resultsmentioning
confidence: 99%
“…After transforming the dynamic fault tree into the corresponding dynamic evidence network, some reliability parameters can be calculated using the software simulation and reasoning algorithm (Zeng et al, 2019). In this section, the definition and calculation formula of some reliability results such as system reliability, diagnostic importance factor (DIF) and Birnbaum importance measure (BIM) will be introduced in detail.…”
Section: Calculating Reliability Resultsmentioning
confidence: 99%
“…The conversion from dynamic and static gates to corresponding GSPN structures can be found in our previous work. 39,40 Step2: Based on the interconnection between the gates in the DFT model, the 𝐺𝐷 is constructed by linking all the subnets 𝑆 using directed arcs. Step3: For the parts of the system failure behaviors that cannot be modeled by DFT, the GSPN model 𝐺𝐶 = (𝑃 𝐺𝐶 , 𝑇 𝐺𝐶 , 𝐴 𝐺𝐶 , 𝑀 0,𝐺𝐶 , 𝑅 𝐺𝐶 ) is construct directly.…”
Section: The Combinational Modeling Methods Based On Gspn and Dftmentioning
confidence: 99%
“…In this paper, the DFT is quantified by corresponding GSPN. The conversions of GSPN to DFT are studied in our previous work 30 . Figure 5 exhibits the DFT gates and corresponding GSPN model.…”
Section: Related Workmentioning
confidence: 99%