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
An integrated methodology for system-level early fault detection and isolation
TL;DR: In this paper , a system-level fault diagnosis methodology is proposed based on fault behaviour analysis, optimal sensor placement and intelligent data analytics for multiple fault detection and isolation in a complex machine system.
Book ChapterDOI
Dynamic Bayesian Networks
TL;DR: A large number of safety violations occur frequently in tunnel construction, leading to large problems on the surface transport operation.
Asset integrity case development for normally unattended offshore installations: Bayesian network modelling
TL;DR: In this paper, the initial stages of the application of Bayesian Networks in conducting quantitative risk assessment of the integrity of an offshore system are presented. But the main focus is the construction of a Bayesian network model that demonstrates the interactions of multiple offshore safety critical elements to analyse asset integrity.
Journal ArticleDOI
A novel methodology to develop risk-based maintenance strategies for fishing vessels
TL;DR: In this article , a risk-based maintenance (RBM) methodology is presented to develop a maintenance plan for fishing vessels, which uses simple steps to design a tailormade maintenance plan.
Posted Content
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
TL;DR: A hierarchical Bayesian network model is proposed to quantitatively evaluate the resilience of urban transportation infrastructure and clarifies the concepts of long-term multi-dimensional resilience and specific hazard-related resilience and provides an effective decision-support tool for stakeholders when building sustainable infrastructure.
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.