Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
S Kabir, Y Papadopoulos - Safety science, 2019 - Elsevier
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools
E Ruijters, M Stoelinga - Computer science review, 2015 - Elsevier
Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety
and economically critical assets, like power plants, airplanes, data centers and web shops …
and economically critical assets, like power plants, airplanes, data centers and web shops …
Application of Bayesian networks in reliability evaluation
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation
and inference and is increasingly used in the field of reliability evaluation. This paper …
and inference and is increasingly used in the field of reliability evaluation. This paper …
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
In this paper, a bibliographical review over the last decade is presented on the application of
Bayesian networks to dependability, risk analysis and maintenance. It is shown an …
Bayesian networks to dependability, risk analysis and maintenance. It is shown an …
Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures
N Khakzad - Reliability Engineering & System Safety, 2015 - Elsevier
A domino effect is a low frequency high consequence chain of accidents where a primary
accident (usually fire and explosion) in a unit triggers secondary accidents in adjacent units …
accident (usually fire and explosion) in a unit triggers secondary accidents in adjacent units …
A dynamic Bayesian networks modeling of human factors on offshore blowouts
An application of dynamic Bayesian networks for quantitative risk assessment of human
factors on offshore blowouts is presented. Human error is described using human factor …
factors on offshore blowouts is presented. Human error is described using human factor …
Dynamic Bayesian networks for fault detection, identification, and recovery in autonomous spacecraft
D Codetta-Raiteri, L Portinale - IEEE Transactions on Systems …, 2014 - ieeexplore.ieee.org
This paper describes how to exploit the modeling features and inference capabilities of
dynamic Bayesian networks (DBN), in designing and implementing an innovative approach …
dynamic Bayesian networks (DBN), in designing and implementing an innovative approach …
Risk-based design of process systems using discrete-time Bayesian networks
Temporal Bayesian networks have gained popularity as a robust technique to model
dynamic systems in which the components' sequential dependency, as well as their …
dynamic systems in which the components' sequential dependency, as well as their …
贝叶斯网络发展及其应用综述
黄影平 - 北京理工大学学报自然版, 2013 - journal.bit.edu.cn
贝叶斯网络(BN) 是一种用于描述变量间不确定性因果关系的图形网络模型,
用于不确定性系统建模和推理, 处理涉及到预测智能推理, 诊断, 决策风险及可靠性分析的问题 …
用于不确定性系统建模和推理, 处理涉及到预测智能推理, 诊断, 决策风险及可靠性分析的问题 …
Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures
A subsea blowout preventer (BOP) stack is used to seal, control and monitor oil and gas
wells. It can be regarded as a series–parallel system consisting of several subsystems. This …
wells. It can be regarded as a series–parallel system consisting of several subsystems. This …