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
More filters
Journal ArticleDOI
Failure rate updates using condition-based prognostics in probabilistic safety assessments
TL;DR: A new methodology was developed by incorporating the idea of condition-based prognostics to analyze plant-specific aging effects in Probabilistic safety assessment by considering the availability of safety systems according to maintenance status.
Journal ArticleDOI
A safe control scheme under the abnormity for the thickening process of gold hydrometallurgy based on Bayesian network
Hui Li,Fuli Wang,Hongru Li +2 more
TL;DR: This paper develops a safe control scheme under the abnormity based on Bayesian network (BN) for the thickening process of gold hydrometallurgy and shows that the proposed approach can make the safe operation control decisions to remove the abnormality in the Thickening process effectively.
Journal ArticleDOI
Design of visualization plots of industrial alarm and event data for enhanced alarm management
TL;DR: Design studies on the development of visualization plots are presented in three categories, including visualization towards overall performance, visualization towards pattern insights, and visualization towards realtime applications.
Journal ArticleDOI
Quantitative fire risk assessment of cotton storage and a criticality analysis of risk control strategies
Journal ArticleDOI
Quantitative risk assessment of explosion rescue by integrating CFD modeling with GRNN
TL;DR: An explosion rescue risk assessment methodology by integrating with a general regression neural network (GRNN) with computational fluid dynamics (CFD) modeling for emergency decision support to allow a better-informed rescue decision making is presented.
References
More filters
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.