[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

Integrating α-cut interval based fuzzy fault tree analysis with Bayesian network for criticality analysis of submarine pipeline leakage: A novel approach

K Singh, M Kaushik, M Kumar - Process Safety and Environmental …, 2022 - Elsevier
Submarine pipelines are the major transportation mode of marine oil and gas resources.
Because of submarine pipeline damage, the leakage of oil and gas will result the serious …

[HTML][HTML] Remaining useful lifetime prediction for predictive maintenance in manufacturing

B Taşcı, A Omar, S Ayvaz - Computers & Industrial Engineering, 2023 - Elsevier
Traditional maintenance approaches often result in either premature replacement of
machine parts or downtime in production lines due to malfunctions. Consequently, these …

Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO2 Capture: Machine Learning and DFT Calculation Approaches

M Rahimi, MH Abbaspour-Fard, A Rohani… - Industrial & …, 2022 - ACS Publications
The CO2 emission issue has triggered the promotion of carbon capture and storage (CCS),
particularly bio-route CCS as a sustainable procedure to capture CO2 using biomass-based …

Fault-tree-analysis-based health monitoring for autonomous underwater vehicle

S Byun, M Papaelias, FPG Márquez, D Lee - Journal of Marine Science …, 2022 - mdpi.com
Undersea terrain and resource exploration missions using autonomous underwater vehicles
(AUVs) require a great deal of time. Therefore, it is necessary to monitor the state of the AUV …

[HTML][HTML] A System-Theoretic Fuzzy Analysis (STheFA) for systemic safety assessment

R Patriarca, F De Carlo, L Leoni - Process Safety and Environmental …, 2023 - Elsevier
The interactions among distinct systems and components have attracted more attention
recently due to safety concerns. Indeed, modern industrial plants could be regarded as …

Research on an ultrasonic detection method for weld defects based on neural network architecture search

R Zhang, MR Gao, PY Zhang, YM Zhang, LH Fu… - Measurement, 2023 - Elsevier
In order to further reduce the subjectivity of network design and improve the ability of model
feature extraction, an ultrasonic detection method for weld defects based on neural network …

Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application

SV Kumar, GAA Mary, M Mahdal - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …

Sustainable food production: an intelligent fault diagnosis framework for analyzing the risk of critical processes

H Soltanali, M Khojastehpour, JEDAE Pais, JT Farinha - Sustainability, 2022 - mdpi.com
Fault diagnosis and prognosis methods are the most useful tools for risk and reliability
analysis in food processing systems. Proactive diagnosis techniques such as failure mode …

Forecasting steel production in the world—Assessments based on shallow and deep neural networks

BC Mateus, M Mendes, JT Farinha, AJM Cardoso… - Applied Sciences, 2022 - mdpi.com
Forecasting algorithms have been used to support decision making in companies, and it is
necessary to apply approaches that facilitate a good forecasting result. The present paper …