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
Quantitative Assessment of Safety and Health Risks in HAZMAT Road Transport Using a Hybrid Approach: A Case Study in Tehran
TL;DR: Given the catastrophic consequences of hazardous materials’ leakage from trucks, it has become necessary to adopt a coherent approach for quantitative risk assessment in this process.
Journal ArticleDOI
Research and Application of FTA and Petri Nets in Fault Diagnosis in the Pantograph-Type Current Collector on CRH EMU Trains
TL;DR: In this paper, a fault tree is established based on structural analysis, working principle analysis, and failure mode and effects analysis of the pantograph-type current collector on the Chinese Rail High-Speed Electric Multiple Unit (CRH EMU) train.
Journal ArticleDOI
A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection
TL;DR: In this article, a bibliometric overview of the publications in the principal international journal Process Safety and Environmental Protection (PSEP) from 1990 to 2020 retrieved in the Web of Science (WoS) database to explore the evolution in safety and environmental engineering design and practice, as well as experimental or theoretical innovative research.
Journal ArticleDOI
Risk analysis of man overboard scenario in a small fishing vessel
TL;DR: The Objected-Oriented Bayesian Network (OOBN) application for risk assessment of the MOB scenario is presented, and the OOBN model is developed to probabilistically capture the key accident influencing factors in fragmented structures.
Journal ArticleDOI
Probability Analysis of Damage to Offshore Pipeline by Ship Factors
Yutao Liu,Hao Hu,Di Zhang +2 more
TL;DR: In this article, a Bayesian network (BN) model is proposed to determine the probability of anchor and trawling damage to subsea pipelines by integrating directed acyclic graphs and three computational methods (Boolean operation, standard and historical statistical analyses, and fuzzy set theory).
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.