A numerical simulation method for a repairable dynamic fault tree
| Autor: | Dingqing Guo, Zhixin Xu, Daochuan Ge, Jinkai Wang, Xueli Li |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Fault tree analysis
021103 operations research Computer simulation Computer science 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Safety Risk Reliability and Quality Algorithm Industrial and Manufacturing Engineering |
| Zdroj: | Eksploatacja i Niezawodność – Maintenance and Reliability. 23:34-41 |
| ISSN: | 2956-3860 1507-2711 |
| DOI: | 10.17531/ein.2021.1.4 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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