[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
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 …
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
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 …
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 …
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
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 …
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 …
(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
The interactions among distinct systems and components have attracted more attention
recently due to safety concerns. Indeed, modern industrial plants could be regarded as …
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 …
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
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 …
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
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 …
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
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 …
necessary to apply approaches that facilitate a good forecasting result. The present paper …