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 …

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 …

Application of Bayesian networks in reliability evaluation

B Cai, X Kong, Y Liu, J Lin, X Yuan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas

P Weber, G Medina-Oliva, C Simon, B Iung - Engineering Applications of …, 2012 - Elsevier
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 …

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 …

A dynamic Bayesian networks modeling of human factors on offshore blowouts

B Cai, Y Liu, Y Zhang, Q Fan, Z Liu, X Tian - Journal of Loss Prevention in …, 2013 - Elsevier
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 …

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 …

Risk-based design of process systems using discrete-time Bayesian networks

N Khakzad, F Khan, P Amyotte - Reliability Engineering & System Safety, 2013 - Elsevier
Temporal Bayesian networks have gained popularity as a robust technique to model
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 …

Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

Z Liu, Y Liu, B Cai, D Zhang, C Zheng - Journal of Loss Prevention in the …, 2015 - Elsevier
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 …