Journal ArticleDOI
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
TLDR
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.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2011-08-01. It has received 573 citations till now. The article focuses on the topics: Fault tree analysis & System safety.read more
Citations
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Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis
Ramin Moradi,Katrina M. Groth +1 more
TL;DR: In this paper, the main existing safety and reliability challenges in hydrogen systems are reviewed, and the current state-of-the-art in safety analysis for hydrogen storage and delivery technologies is discussed, and recommendations are mentioned to help providing a foundation for future risk and reliability analysis to support safe, reliable operation.
Journal ArticleDOI
Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network
TL;DR: This paper introduces the application of probability adapting in dynamic safety analysis rather than probability updating, and illustrates how Bayesian network (BN) helps to overcome limitations in BT.
Journal ArticleDOI
Methods and models in process safety and risk management: Past, present and future
TL;DR: In this paper, the authors reviewed past progress in the development of methods and models for process safety and risk management and highlighted the present research trends; also it outlines the opinions of the authors regarding the future research direction in the field.
Journal ArticleDOI
Quantitative risk analysis of offshore drilling operations: A Bayesian approach
TL;DR: The Bayesian network method provides greater value than the bow-tie model since it can consider common cause failures and conditional dependencies along with performing probability updating and sequential learning using accident precursors.
Journal ArticleDOI
Dynamic risk analysis using bow-tie approach
TL;DR: This work is focused on using bow-tie model approach in a dynamic environment in which the occurrence probability of accident consequences changes, and uses Bayes’ theorem to estimate the posterior probability of the consequences which results in an updated risk profile.
References
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Journal Article
Use Maximum-Credible Accident Scenarios for Realistic and Reliable Risk Assessment
TL;DR: There have been many methodologies proposed for the risk assessment in the chemical process industries (CPI). Among them, the most notable ones are quantitative risk analysis, probabilistic safety analysis, worst-case methodology for risk assessment and optimal risk analysis as mentioned in this paper.
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Methodology for Computer-Aided Fault Tree Analysis
TL;DR: A revised methodology for computer-aided fault tree analysis is presented, which uses advanced concepts of fault tree development and static and dynamic modularizing for complex and large fault trees and enables sensitivity analysis of the system for design modification and risk-based decision making.
Journal ArticleDOI
A fully Bayesian approach for combining multi-level information in multi-state fault tree quantification
TL;DR: A fully Bayesian approach that simultaneously combines non-overlapping (in time) basic event and higher-level event failure data in fault tree quantification with multi-state events is presented.
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Integrated system fault diagnostics utilising digraph and fault tree-based approaches
TL;DR: Two approaches which have been developed to cater for the demands of diagnosis within current engineering systems are developed, namely application of the fault tree analysis technique and the method of digraphs, which use a comparative approach to consider differences between actual system behaviour and that expected.
Journal ArticleDOI
A Rough Set Approach to the Ordering of Basic Events in a Fault Tree for Fault Diagnosis
TL;DR: A novel approach based on rough set theory and a pairwise comparison table for fault diagnosis is proposed that attempts to learn from the pattern of decision-making by domain experts from past experience and uses the knowledge acquired, which is in the form of a minimum decision rule set, to determine the ordering of basic events in a fault tree.