Application of machine learning methods for asset management on power distribution networks

GLL Rajora, MÁ Sanz Bobi, C Mateo Domingo - 2022 - repositorio.comillas.edu
This study aims to study the different kinds of Machine Learning (ML) models and their
working principles for asset management in power networks. Also, it investigates the …

Augmented asset management in railways–Issues and challenges in rolling stock

J Kumari, R Karim, A Thaduri… - Proceedings of the …, 2022 - journals.sagepub.com
Managing assets in railway, including infrastructure and rolling stock, efficiently and
effectively is challenging. The emerging digital technologies and Artificial Intelligence (AI) …

Empowering process and control in lean 4.0 with artificial intelligence

P Perico, J Mattioli - … on artificial intelligence for industries (ai4i), 2020 - ieeexplore.ieee.org
Lean Manufacturing is well known as an effective means to improve productivity and
decrease costs of operations, using a series of management practices developed first in …

A data-driven prioritisation framework to mitigate maintenance impact on passengers during metro line operation

A Consilvio, G Vignola, P López Arévalo… - European Transport …, 2024 - Springer
The application of artificial intelligence (AI) techniques may lead to significant improvements
in different aspects of rail sector. Considering asset management and maintenance, AI can …

Improve total production maintenance with artificial intelligence

J Mattioli, P Perico, PO Robic - 2020 Third International …, 2020 - ieeexplore.ieee.org
With Lean 4.0, Symbolic AI (Artificial Intelligence) and data-driven AI are becoming a
cornerstone to Total production Maintenance (TMP). We present in this paper is a brief …

The role of artificial intelligence in Latin Americas energy transition

VMM Jimenez, EP Gonzalez - IEEE Latin America Transactions, 2022 - ieeexplore.ieee.org
Latin Americas energy transition involves the massive integration of sustainable energy,
different than hydro, at large and small scale, consumer empowerment, and the adoption of …

Smart or intelligent assets or infrastructure: Technology with a purpose

W Serrano - Buildings, 2023 - mdpi.com
Smart or intelligent built assets including infrastructure, buildings, real estate, and cities
provide enhanced functionality to their different users such as occupiers, passengers …

Integrated prescriptive maintenance and production planning: a machine learning approach for the development of an autonomous decision support agent

M Elbasheer, F Longo, G Mirabelli, A Padovano… - IFAC-PapersOnLine, 2022 - Elsevier
Abstract Machine Learning (ML) practice represents a vital construct for developing
intelligent Cyber-Physical Production Systems (CPPS) capable of making timely …

[HTML][HTML] Information Quality: the cornerstone for AI-based Industry 4.0

J Mattioli, PO Robic, E Jesson - Procedia Computer Science, 2022 - Elsevier
AI becomes a key enabler for Industry 4.0. Data/information quality become a real
cornerstone on the overall process from user expectation to products/systems/solutions in a …

Machine failure prediction using joint reserve intelligence with feature selection technique

A Shaheen, M Hammad, W Elmedany… - … Journal of Computers …, 2023 - Taylor & Francis
A model with high accuracy of machine failure prediction is important for any machine life
cycle. In this paper, a prediction model based on machine learning methods is proposed …