2026-10-14T01:58:30Z https://www.scidb.cn/oai

10.57760/sciencedb.05717 2022-11-27T22:49:31Z

2022-11-27 A numerical simulation method for a repairable dynamic fault tree doi:10.57760/sciencedb.05717 en Dynamic fault trees are important tools for modeling systems with sequence failure behaviors. The Markov chain state space method is the only analytical approach for a repairable dynamic fault tree (DFT). However, this method suffers from state space explosion, and is not suitable for analyzing a large scale repairable DFT. Furthermore, the Markov chain state space method requires the components’ time-to-failure to follow exponential distributions, which limits its application. In this study, motivated to efficiently analyze a repairable DFT, a Monte Carlo simulation method based on the coupling of minimal cut sequence set (MCSS) and its sequential failure region (SFR) is proposed. To validate the proposed method, a numerical case was studied. The results demonstrated that our proposed approach was more efficient than other methods and applicable for repairable DFTs with arbitrary time-to-failure distributed components. In contrast to the Markov chain state space method, the proposed method is straightforward, simple and efficient. repairable dynamic fault tree; numerical simulation; Monte Carlo; sequential failure region; minimal cut sequence set Zhixin Xu Dingqing Guo Jinkai Wang Xueli Li Daochuan Ge PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset http://www.doi.org/10.17531/ein.2021.1.4 Science Data Bank