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
Multi-hazard risk assessment in process industries: State-of-the-Art
TL;DR: In this article , the authors reviewed past studies on the risk assessment of three types of multi-hazard accidents in process industries: Natech events, domino effects, and concurrent hazards.
Journal ArticleDOI
Probability analysis of damages to subsea pipeline
TL;DR: A Bayesian network model was developed to identify and analyze the probability of subsea pipeline condition subjected to corrosion, third party, operational, and material damages and demonstrated that estimation of the developed model is reliable.
Journal ArticleDOI
Bayesian method for event-based alarm annunciation
TL;DR: This article presents a method for estimating the probability of occurrence of abnormal events for the purpose of annunciation of an alarm and is demonstrated using the example of a simulated continuous stirred tank reactor.
DissertationDOI
Development and analysis of a Train-centric Distance Measurement System by means of Colored Petri Nets
TL;DR: An enhanced movement authority system is proposed, which combines advantages of the train-centric communication with current movement authority mechanisms and is reusable to develop and verify other systems.
Journal ArticleDOI
A novel risk analysis approach for FPSO single point mooring system using Bayesian Network and interval type-2 fuzzy sets
TL;DR: In this paper , a risk analysis approach that can be used to assess the FPSO single point mooring system safety risk is proposed to overcome the difficulties in gathering and evaluating the data required for the calculation of the FPSI single point MIMO system safety hazards.
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.