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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Journal ArticleDOI
Evidence based risk analysis of fire and explosion accident scenarios in FPSOs
TL;DR: In this paper, the authors proposed a methodology for risk assessment and probabilistic modelling of fire and explosion accidents in floating production storage and offloading (FPSO) units.
Journal ArticleDOI
Methodologies for Assessing Risks of Accidents in Chemical Process Industries
TL;DR: An overview of the already developed, and still evolving, methods for assessing risk of accidents in chemical process industries is presented.
Journal ArticleDOI
A causal perspective on reliability assessment
TL;DR: A novel application of the popular structural causal modeling (SCM) framework to reliability estimation in an engineering application is presented, illustrating how this framework can inform whether reliability is estimable and how to estimate reliability given a set of data and assumptions about the subject matter and data generating mechanism.
Journal ArticleDOI
An integrated approach for real-time hazard mitigation in complex industrial processes
Sinda Rebello,Hongyang Yu,Lin Ma +2 more
TL;DR: An integrated approach that uses both Hidden Markov Model and Bayesian Network to estimate an optimum safety-threshold for complex industrial processes and a dynamic risk assessment methodology based on multiple real-time process variables is proposed.
Journal ArticleDOI
A two-level intelligent alarm management framework for process safety
Jinqiu Hu,Yan Yi +1 more
TL;DR: A two-level intelligent alarm management framework (IAMF) is proposed considering fault interdependence in plant operation, including alarm filtering first and root-cause diagnosis second, applicable to various hazard scenarios involving multi-fault with similar symptoms and propagation scenarios.
References
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Book
Bayesian networks and decision graphs
TL;DR: The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams, and presents a thorough introduction to state-of-the-art solution and analysis algorithms.
Journal ArticleDOI
Improving the analysis of dependable systems by mapping fault trees into Bayesian networks
TL;DR: It is shown that any FT can be directly mapped into a BN and that basic inference techniques on the latter may be used to obtain classical parameters computed from the former, i.e. reliability of the Top Event or of any sub-system, criticality of components, etc.
Book
Introduction to reliability engineering
TL;DR: Reliability and Rates of Failure, Loads, Capacity, and Reliability, and System Safety Analysis; Quality and Its Measures; and Answers to Odd--Numbered Exercises.
Journal ArticleDOI
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
TL;DR: A bibliographical review over the last decade is presented on the application of Bayesian networks to dependability, risk analysis and maintenance and an increasing trend of the literature related to these domains is shown.
Book
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Uffe Kjærulff,Anders L. Madsen +1 more
TL;DR: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks.