Fault tree analysis improvements: A bibliometric analysis and literature review

M Yazdi, J Mohammadpour, H Li… - Quality and …, 2023 - Wiley Online Library
Fault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal
the potential pathways leading to systems or components failure. It has been widely …

Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis

R Moradi, KM Groth - International Journal of Hydrogen Energy, 2019 - Elsevier
Among all introduced green alternatives, hydrogen, due to its abundance and diverse
production sources is becoming an increasingly viable clean and green option for …

Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods

SS Lin, SL Shen, A Zhou, YS Xu - Automation in Construction, 2021 - Elsevier
This paper presents a brief review on major accidents and conducts bibliometric analysis of
risk assessment methods for excavation system in recent year. The summarization of …

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 …

From corrective to predictive maintenance—A review of maintenance approaches for the power industry

M Molęda, B Małysiak-Mrozek, W Ding, V Sunderam… - Sensors, 2023 - mdpi.com
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …

Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network

S Fan, E Blanco-Davis, Z Yang, J Zhang… - Reliability Engineering & …, 2020 - Elsevier
A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …

Bayesian networks in fault diagnosis

B Cai, L Huang, M Xie - IEEE Transactions on industrial …, 2017 - ieeexplore.ieee.org
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …

A systematic analysis for maritime accidents causation in Chinese coastal waters using machine learning approaches

K Liu, Q Yu, Z Yuan, Z Yang, Y Shu - Ocean & Coastal Management, 2021 - Elsevier
Maritime safety is critical as many maritime accidents involve catastrophic consequences,
including both fatalities and financial loss. To identify the factors which caused maritime …

Risk assessment of marine accidents with Fuzzy Bayesian Networks and causal analysis

P Chen, Z Zhang, Y Huang, L Dai, H Hu - Ocean & Coastal Management, 2022 - Elsevier
Marine shipping is a high-risk mode of transportation in a complex environment. Most risk
analyses of marine shipping are based on historical accident statistics or expert opinions …

Bayesian network modeling of accident investigation reports for aviation safety assessment

X Zhang, S Mahadevan - Reliability Engineering & System Safety, 2021 - Elsevier
Safety assurance is of paramount importance in the air transportation system. In this paper,
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …