Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects

MY Arafat, MJ Hossain, MM Alam - Renewable and Sustainable Energy …, 2024 - Elsevier
Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Maintenance as a Sustainability Tool in High-Risk Process Industries: a Review and Future Directions

DA Bouabid, H Hadef, F Innal - Journal of Loss Prevention in the Process …, 2024 - Elsevier
The intricate interplay between sustainability and maintenance management within high-risk
process industries constitutes a focal point for scientists, engineers, and strategic planners …

Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project …

O Alshboul, RE Al Mamlook, A Shehadeh… - Computers & Industrial …, 2024 - Elsevier
Abstract Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed
through construction project management, is increasingly recognized for its significance …

Immune system inspired smart maintenance framework: tool wear monitoring use case

T Pulikottil, G Martínez-Arellano, J Barata - The International Journal of …, 2024 - Springer
As the manufacturing industry is moving towards the fourth industrial revolution, there is an
increasing need for smart maintenance systems that could provide manufacturers with a …

A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters

C Riccio, M Menanno, I Zennaro, MM Savino - Machines, 2024 - mdpi.com
Predictive maintenance (PdM) is the most suitable for production efficiency and cost
reduction, aiming to perform maintenance actions when needed, avoiding unwanted failures …

Demonstrating computer vision to small‐and medium‐sized enterprises in manufacturing: Toward overcoming costs and implementation challenges

J Werheid, S Münker, N Klasen, T Hamann… - Engineering …, 2024 - Wiley Online Library
Computer vision (CV) systems are crucial in various fields, such as manufacturing. However,
the general feedback from small and medium‐sized enterprises (SMEs) in manufacturing …

Machine overstrain prediction for early detection and effective maintenance: A machine learning algorithm comparison

B Mota, P Faria, C Ramos - Logic Journal of the IGPL, 2024 - academic.oup.com
Abstract Machine stability and energy efficiency have become major issues in the
manufacturing industry, primarily during the COVID-19 pandemic where fluctuations in …

Proposal of a Machine Learning Predictive Maintenance Solution Architecture

A Pătrașcu, C Bucur, A Tănăsescu… - INTERNATIONAL …, 2024 - fsja.univagora.ro
This article proposes an architecture model for a predictive maintenance solution that can be
used to detect degradation of equipment in industrial units. This platform is compliant with …

[PDF][PDF] Machine Learning Applications in Manufacturing-Challenges, Trends, and Future Directions

A Manta-Costa, SO Araújo, RS Peres, J Barata - 2024 - techrxiv.org
The emergence of Industry 4.0 has significantly transformed manufacturing landscapes,
introducing interconnected, dynamic, and data-rich environments. This paper focuses on the …

[PDF][PDF] Development of a Machine Learning Based Fault Detection Model for Received Signal Level in Telecommunication Enterprise Infrastructure

K Okokpujie, IO Nwokolo, AV Adenugba… - … homepage: http://iieta …, 2024 - researchgate.net
This research develops a machine-learning fault detection model for received signal levels
in telecommunication infrastructure. The methodology involves modeling an enterprise point …