Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance

A Hakami - Scientific Reports, 2024 - nature.com
Predictive maintenance harnesses statistical analysis to preemptively identify equipment
and system faults, facilitating cost-effective preventive measures. Machine learning …

Automation network computer aided design of hybrid electrical energy backup system for nuclear microgrids

A Aboshosha - International Journal of Hydrogen Energy, 2024 - Elsevier
The fall of the public grid is a serious incident in Nuclear Power Plants (NPPs). This article
explores the use of Computer-Aided Design (CAD) and Simulation to develop a Hybrid …

Revolutionizing System Reliability: The Role of AI in Predictive Maintenance Strategies

M Bidollahkhani, JM Kunkel - arXiv preprint arXiv:2404.13454, 2024 - arxiv.org
The landscape of maintenance in distributed systems is rapidly evolving with the integration
of Artificial Intelligence (AI). Also, as the complexity of computing continuum systems …

Machine Learning-Based Predictive Maintenance using Data Aggregation via Regularized Clustering

L Lyubchyk, G Grinberg… - 2023 13th International …, 2023 - ieeexplore.ieee.org
The paper is devoted to the development of a technique for classifying failures in predictive
maintenance based on machine learning on aggregated data. A feature of the proposed …

Open Source Electronics based Treatment of Harmonics from Non-Linear loads in Smart Microgrid

A Aboshosha, S Moawad… - … Middle East Power …, 2023 - ieeexplore.ieee.org
Smart Microgrid is an integration of Artificial Intelligence AI, Information and Communication
Technology ICT, and Electrical Engineering EE. The presence of harmonics of load currents …

Mitigation of Harmonics in Smart Microgrid Applications using Open Source Electronics

A Aboshosha, S Moawad… - … Middle East Power …, 2023 - ieeexplore.ieee.org
Smart Grids (SG) are integration of Artificial Intelligence (AI), Information and
Communication Systems (ICT), and Electrical Energy Systems (EES). Throughout the …

[PDF][PDF] Программное обеспечение для управления системой технического обслуживания и ремонта лесных машин: оценка применимости

АН Заикин, ВВ Сиваков, ТП Новикова, ВА Зеликов… - 2023 - elib.belstu.by
Технологии. Машины и оборудование ––––––––––––––––––––– Page 1 Технологии.
Машины и оборудование …

Distanzbasierte Prozessmodellierung in zyklischen Fertigungssystemen

J Gram, JB Maier, V Milojkovic - Zeitschrift für wirtschaftlichen …, 2024 - degruyter.com
Abstract Dieser Beitrag thematisiert die Herausforderungen in der Fertigungsindustrie
bezüglich Effizienz und Fehleranfälligkeit. Das Ziel ist die Optimierung der …

Development of Multi-Objective Production Scheduling Fuzzy Algorithm in Manufacturing

A Piros - 2024 - researchsquare.com
Several methods exist to schedule specific workpieces in a manufacturing system. Large
multinational companies usually apply worldwide automated scheduling systems to provide …

A Hybrid Approach for Predictive Maintenance Monitoring of Aircraft Engines

S Maji, KT Thomas, L Matthew - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The realm of aircraft maintenance involves predictive maintenance, which utilizes historical
data and machine parts' performance to anticipate the need for maintenance activities. The …