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 …
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
The intricate interplay between sustainability and maintenance management within high-risk
process industries constitutes a focal point for scientists, engineers, and strategic planners …
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 …
Abstract Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed
through construction project management, is increasingly recognized for its significance …
through construction project management, is increasingly recognized for its significance …
Immune system inspired smart maintenance framework: tool wear monitoring use case
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 …
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 …
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 …
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
Abstract Machine stability and energy efficiency have become major issues in the
manufacturing industry, primarily during the COVID-19 pandemic where fluctuations in …
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 …
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
The emergence of Industry 4.0 has significantly transformed manufacturing landscapes,
introducing interconnected, dynamic, and data-rich environments. This paper focuses on the …
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 …
in telecommunication infrastructure. The methodology involves modeling an enterprise point …