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Reactive Approaches of Probability Update Based on Bayesian Methods


Khakzad, N and Yu, H and Paltrinieri, N and Khan, F, Reactive Approaches of Probability Update Based on Bayesian Methods, Dynamic Risk Analysis in the Chemical and Petroleum Industry, Elsevier, N Paltrinieri & F Khan (ed), Oxford, United Kingdom, pp. 51-61. ISBN 978-012803823-9 (2016) [Research Book Chapter]

Copyright Statement

Copyright 2016 Elsevier Inc.

DOI: doi:10.1016/B978-0-12-803765-2.00005-6


Dynamic safety analysis in chemical and process facilities is necessary to prevent unwanted events that may cause catastrophic accidents. Probability updating and adapting of stochastic events and dynamic processes, which evolve over time, are the key to dynamic safety analysis. Conventional risk assessment techniques, such as fault tree, event tree, and bow-tie analyses, have long been used for effective safety analysis of process plants; however, owing to their static characteristics, their application to dynamic safety analysis has been relatively limited. Bayesian methods, such as hierarchical Bayesian analysis and Bayesian network, are effective techniques with ample potential for application in dynamic safety analysis. This chapter is aimed at presenting the state-of-the-art application of Bayesian analysis and especially the Bayesian network method in dynamic safety analysis of process systems.

Item Details

Item Type:Research Book Chapter
Keywords:Bayesian analysis, Bayesian network, dynamic Bayesian network, limited memory influence diagram, probability updating
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Statistical theory
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the mathematical sciences
UTAS Author:Yu, H (Mr Hongjiang Yu)
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:117886
Year Published:2016
Deposited By:Information and Communication Technology
Deposited On:2017-06-29
Last Modified:2020-07-29

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