Concept
Predictive maintenance
Related publications (61)
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Digital twins are virtual models of physical objects or systems that enable real-time monitoring and analysis. In the field of stone masonry buildings, digital twins can be used to assess damage, predict maintenance needs, and opti- mize building performanc ...
Springer2024Continuous Supercritical Water Impregnation Method for the Preparation of Metal Oxide on Activated Carbon Composite Materials
Metal oxide (MexOy) nanomaterials are used as catalysts and/or sorbents in processes taking place in supercritical water (scH2O), which is the “green” solvent needed to obtain energy-relevant products. Their properties are significantly influenced by the s ...
2024Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
This paper proposes a safe reinforcement learning algorithm for generation bidding decisions and unit maintenance scheduling in a competitive electricity market environment. In this problem, each unit aims to find a bidding strategy that maximizes its reve ...
ELSEVIER SCI LTD2023The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy, Jibril Albachir Frej
Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding and trust in deep learning systems, often defined as determining which features are most important to a model's prediction. As models get larger, more ubiquitous ...
2023Maintenance scheduling of manufacturing systems based on optimal price of the network
Goods can exhibit positive externalities impacting decisions of customers in social networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider t ...
2022Data-based model maintenance in the era of industry 4.0: A methodology
Despite the high number of investments for data-based models in the expansion of Industry 4.0, too little effort has been made to ensure the maintenance of those models. In a data-streaming environment, data-based models are subject to concept drifts. A co ...
ELSEVIER SCI LTD2022A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis
Jinzhi Lu, Xiaochen Zheng, Jinwei Chen
Gas path fault diagnosis of a gas turbine is a complex task involving field data analysis and knowledge-based reasoning. In this paper, a data-knowledge hybrid driven method for gas path fault diagnosis is proposed by integrating a physical model-based gas ...
MDPI2022Estimating Auxiliary Power Supply Consumption of the Modular Multilevel Converter Submodule for the Condition Health Monitoring
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Condition health monitoring strategies applied to different power electronics applications are gaining popularity as early component degradation detection can trigger preventive maintenance actions before a significant fault occurs. In highly modular conve ...
2022Active Learning for Imbalanced Civil Infrastructure Data
Diego Matteo Antognini, Adelmo Cristiano Innocenza Malossi, Ioana Giurgiu
Aging civil infrastructures are closely monitored by engineers for damage and critical defects. As the manual inspection of such large structures is costly and time-consuming, we are working towards fully automating the visual inspections to support the pr ...
2022VO2:Ge based thermochromic solar absorber coatings
Anna Krammer, Josef Andreas Schuler
Flat plate solar collectors face the problem of overheating and the ensuing high thermal stresses and general collector damage lead to high maintenance costs. To address this challenge, absorber coatings with a passive optical switch at critically high ope ...
ELSEVIER2022