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 …

Methods and models in process safety and risk management: Past, present and future

F Khan, S Rathnayaka, S Ahmed - Process safety and environmental …, 2015 - Elsevier
The paper reviews past progress in the development of methods and models for process
safety and risk management and highlights the present research trends; also it outlines the …

Battery monitoring and prognostics optimization techniques: challenges and opportunities

C Semeraro, M Caggiano, AG Olabi, M Dassisti - Energy, 2022 - Elsevier
In recent years, many researchers have been conducted on batteries' health monitoring and
prognostics, mainly focusing on the batteries' state of charge (SOC). Accurately estimating …

Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems

R Moradi, S Cofre-Martel, EL Droguett… - Reliability Engineering & …, 2022 - Elsevier
A challenging problem in risk and reliability analysis of Complex Engineering Systems
(CES) is performing and updating risk and reliability assessments on the whole system with …

Risk-based optimal inspection strategies for structural systems using dynamic Bayesian networks

J Luque, D Straub - Structural Safety, 2019 - Elsevier
In most structural systems, it is neither possible nor optimal to inspect all system components
regularly. An optimal inspection-repair strategy controls deterioration in structural systems …

[图书][B] Risk and reliability analysis

P Gardoni - 2017 - Springer
Natural and anthropogenic hazards pose significant risks to individuals and communities.
Over the past few decades, risk and reliability analysis have gone from a specialty topic to a …

[HTML][HTML] Dependency definitions for quantitative human reliability analysis

VP Paglioni, KM Groth - Reliability Engineering & System Safety, 2022 - Elsevier
Human reliability analysis (HRA) identifies the causal factors impacting the occurrence of
human failure events and quantifies probabilities based on those causal factors …

Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems

I Tien, A Der Kiureghian - Reliability Engineering & System Safety, 2016 - Elsevier
Novel algorithms are developed to enable the modeling of large, complex infrastructure
systems as Bayesian networks (BNs). These include a compression algorithm that …

Real‐time system identification: an algorithm for simultaneous model class selection and parametric identification

KV Yuen, HQ Mu - Computer‐Aided Civil and Infrastructure …, 2015 - Wiley Online Library
In this article, a novel Bayesian real‐time system identification algorithm using response
measurement is proposed for dynamical systems. In contrast to most existing structural …

Dynamic Bayesian network model to study under-deposit corrosion

U Dao, Z Sajid, F Khan, Y Zhang - Reliability Engineering & System Safety, 2023 - Elsevier
This paper develops theoretical and mechanistic aspects of under-deposit corrosion (UDC)
into a dynamic model and compares UDC progression and mitigation with current industrial …