2017
DOI: 10.1016/j.oceaneng.2017.08.035
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Fire probability prediction of offshore platform based on Dynamic Bayesian Network

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Cited by 41 publications
(20 citation statements)
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“…Wang et al [126] proposed an approach which integrates Markov models and Bayesian networks to analyze a dynamic Bayesian network. They showed that their proposed approach is useful for estimating the dynamic probability of fire on an offshore platform.…”
Section: Analysis Of Aleatory Uncertainty Handling Contributionsmentioning
confidence: 99%
“…Wang et al [126] proposed an approach which integrates Markov models and Bayesian networks to analyze a dynamic Bayesian network. They showed that their proposed approach is useful for estimating the dynamic probability of fire on an offshore platform.…”
Section: Analysis Of Aleatory Uncertainty Handling Contributionsmentioning
confidence: 99%
“…Asgary, Ghaffari, and Levy (2010) noted that studies were successful in providing insights about spatiotemporal patterns of fire incidents, which were useful in planning fire prevention and response management (e.g., Špatenková & Virrantaus, 2013;Balahadia & Trillanes,2017;Balahadia, et al, 2019;Yao & Zhang, 2016;Wang, et al, 2011). Other studies of fire incidents using prediction and data mining approach were Karouni, et al, (2014), Raghuwanshi (2016), Wang, et al (2017), Stojanova, et al (2006), and Zhang & Jiang (2012).…”
Section: Introductionmentioning
confidence: 99%
“…While this wider safety research does not directly relate to fire safety in machinery spaces, its application may provide holistic improvements in fire safety in ships, which would ultimately include the machinery spaces. This systematic approach to accident prevention is not at the expense of analysis of individual features of fire prevention however and can be noted in the literature covering human and organisational factors, historical causal factors of fires in maritime transportation, calculation of fire probability (25)(26)(27), along with fire impact analysis research focusing on mitigating the outbreak of fire (28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41).…”
Section: Introductionmentioning
confidence: 99%