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 …

Security events and vulnerability data for cybersecurity risk estimation

L Allodi, F Massacci - Risk Analysis, 2017 - Wiley Online Library
Current industry standards for estimating cybersecurity risk are based on qualitative risk
matrices as opposed to quantitative risk estimates. In contrast, risk assessment in most other …

Sustainable fashion supply chain management: A system of systems analysis

TM Choi, YJ Cai, B Shen - IEEE Transactions on Engineering …, 2018 - ieeexplore.ieee.org
The system of systems (SoS) theory is an important topic in modern systems engineering
management. Previous studies focus mainly on using it to explore large-scale physical …

Association rules and social network analysis for supporting failure mode effects and criticality analysis: Framework development and insights from an onshore …

S Antomarioni, FE Ciarapica, M Bevilacqua - Safety science, 2022 - Elsevier
The ongoing digital transformation enables the collection of a vast amount of data from the
maintenance and production processes. Hence, the techniques traditionally applied for …

Failure modes, mechanisms and effect analysis on temperature redundant sensor stage

M Catelani, L Ciani, M Venzi - Reliability Engineering & System Safety, 2018 - Elsevier
This paper focuses on failure analysis using two techniques developed from Failure Mode
and Effect Analysis (FMEA), one of the most used methodologies to determine causes and …

[HTML][HTML] Systematic assessment of food traceability information loss: A case study of the Bangladesh export shrimp supply chain

S Islam, L Manning, JM Cullen - Food Control, 2022 - Elsevier
Traceability information systems in food supply chains (FSCs) can suffer from information
loss, and this can cause food safety crises and economic downturns around the world …

Hybrid intelligence failure analysis for industry 4.0: a literature review and future prospective

M Mokhtarzadeh, J Rodríguez-Echeverría… - Journal of Intelligent …, 2024 - Springer
Abstract Industry 4.0 and advanced technology, such as sensors and human–machine
cooperation, provide new possibilities for infusing intelligence into failure analysis. Failure …

An evidence theory based model fusion method for degradation modeling and statistical analysis

D Liu, S Wang, MM Tomovic, C Zhang - Information Sciences, 2020 - Elsevier
Several methods have been proposed to handle uncertainty issues, including process
uncertainty and parameter uncertainty, in stochastic-process based degradation modeling …

Requirements for data-driven reliability modeling and simulation of smart manufacturing systems

J Friederich, SC Jepsen… - 2021 Winter …, 2021 - ieeexplore.ieee.org
Planning and deploying reliable Smart Manufacturing Systems (SMSs) is of increasing
interest to both scholars and practitioners. High system reliability goes hand in hand with …

A Semi-Supervised Failure Knowledge Graph Construction Method for Decision Support in Operations and Maintenance

Y Ding, H Li, F Zhu, Z Wang, W Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Maintenance logs of industrial equipment record descriptive and unstructured operation and
maintenance (O&M) information, which is the basis of reliability, availability, and …