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Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches

Citation

Khakzad, N and Khan, F and Amyotte, P, Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches, Reliability Engineering and System Safety, 96, (8) pp. 925-932. ISSN 0951-8320 (2011) [Refereed Article]

DOI: doi:10.1016/j.ress.2011.03.012

Abstract

Safety analysis in gas process facilities is necessary to prevent unwanted events that may cause catastrophic accidents. Accident scenario analysis with probability updating is the key to dynamic safety analysis. Although conventional failure assessment techniques such as fault tree (FT) have been used effectively for this purpose, they suffer severe limitations of static structure and uncertainty handling, which are of great significance in process safety analysis. Bayesian network (BN) is an alternative technique with ample potential for application in safety analysis. BNs have a strong similarity to FTs in many respects; however, the distinct advantages making them more suitable than FTs are their ability in explicitly representing the dependencies of events, updating probabilities, and coping with uncertainties. The objective of this paper is to demonstrate the application of BNs in safety analysis of process systems. The first part of the paper shows those modeling aspects that are common between FT and BN, giving preference to BN due to its ability to update probabilities. The second part is devoted to various modeling features of BN, helping to incorporate multi-state variables, dependent failures, functional uncertainty, and expert opinion which are frequently encountered in safety analysis, but cannot be considered by FT. The paper concludes that BN is a superior technique in safety analysis because of its flexible structure, allowing it to fit a wide variety of accident scenarios. © 2011 Elsevier Ltd.

Item Details

Item Type:Refereed Article
Keywords:Accident analysis; Bayesian network; Fault tree analysis; Uncertainty modeling; Accident analysis; Accident scenarios; Catastrophic accidents; Dependent failure; Expert opinion; Failure assessment; Fault-trees; Functional uncertainty; In-process
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Ocean Engineering
Objective Division:Mineral Resources (excl. Energy Resources)
Objective Group:Environmentally Sustainable Mineral Resource Activities
Objective Field:Environmentally Sustainable Mineral Resource Activities not elsewhere classified
Author:Khan, F (Professor Faisal Khan)
ID Code:94415
Year Published:2011
Web of Science® Times Cited:136
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2014-09-09
Last Modified:2017-10-27
Downloads:0

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