Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment

By K. D. Rao, G. Vinod, V. Rao, H. Kushwaha, A. K. Verma, A. Srividya. Reliability Engineering & System Safety, 2009

376 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Software, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/56f3e0ca4ce829c817e807a4ad13d292cb09c0c6

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Citations in the corpus

• Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2013, background): “and robustness assessments, via its role in static [15] and dynamic [16] fault tree analyses.”
• An overview of fault tree analysis and its application in model based dependability analysis (2017, neutral): “…Carlo simulation based methods (Boudali, Nijmeijer, & Stoelinga, 2009; Ejlali & Miremadi, 2004; Manno, Chiacchio, Compagno, D’Urso, & Trapani, 2012; Rao et al., 2009; Zhang & Chan, 2012), Petri Nets based approaches (Codetta-Raiteri, 2005; Zhang, Miao, Fan, & Wang, 2009), Bayesian Networks based…”
• Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools (2014, methodology): “[65] Reliability Monte Carlo, allows arbitrary distributions DRSIM [65] Aliee and Zarandi [5] Reliability Fast Monte Carlo, requires special hardware -”