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 …

Designing resilient systems‐of‐systems: A survey of metrics, methods, and challenges

P Uday, K Marais - Systems Engineering, 2015 - Wiley Online Library
Resilience is the ability of a system to react to and recover from disturbances with minimal
effect on its dynamic stability. While resilience has been the focus of research in several …

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 …

A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

B Cai, H Liu, M Xie - Mechanical Systems and Signal Processing, 2016 - Elsevier
Bayesian network (BN) is a commonly used tool in probabilistic reasoning of uncertainty in
industrial processes, but it requires modeling of large and complex systems, in situations …

[图书][B] Bayesian artificial intelligence

KB Korb, AE Nicholson - 2010 - books.google.com
The second edition of this bestseller provides a practical and accessible introduction to the
main concepts, foundation, and applications of Bayesian networks. This edition contains a …

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 …

Bayesian network modelling for the wind energy industry: An overview

T Adedipe, M Shafiee, E Zio - Reliability Engineering & System Safety, 2020 - Elsevier
Wind energy farms are moving into deeper and more remote waters to benefit from
availability of more space for the installation of wind turbines as well as higher wind speed …

Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model

Z Liu, Q Ma, B Cai, X Shi, C Zheng, Y Liu - Reliability Engineering & System …, 2022 - Elsevier
Risk analysis of subsea blowout accidents is critical to well control strategies and the overall
safety of offshore drilling operations. Therefore, the interactive relationships among different …

An integrated approach for system functional reliability assessment using Dynamic Bayesian Network and Hidden Markov Model

S Rebello, H Yu, L Ma - Reliability Engineering & System Safety, 2018 - Elsevier
This paper presents a novel methodology to estimate and predict the functional reliability of
a system using system functional indicators and condition indicators of components. Instead …