[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

Data mining in predictive maintenance systems: A taxonomy and systematic review

A Esteban, A Zafra, S Ventura - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector

M Nacchia, F Fruggiero, A Lambiase, K Bruton - Applied Sciences, 2021 - mdpi.com
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …

From predictive to energy-based maintenance paradigm: Achieving cleaner production through functional-productiveness

M Orošnjak, N Brkljač, D Šević, M Čavić, D Oros… - Journal of Cleaner …, 2023 - Elsevier
The introduction of the Energy-Based Maintenance (EBM) practice in Sustainable
Manufacturing attracted significant academic attention, especially considering imposed …

Integration of novel sensors and machine learning for predictive maintenance in medium voltage switchgear to enable the energy and mobility revolutions

MW Hoffmann, S Wildermuth, R Gitzel, A Boyaci… - Sensors, 2020 - mdpi.com
The development of renewable energies and smart mobility has profoundly impacted the
future of the distribution grid. An increasing bidirectional energy flow stresses the assets of …

[HTML][HTML] Design of thermal imaging-based health condition monitoring and early fault detection technique for porcelain insulators using Machine learning

L Singh, A Alam, KV Kumar, D Kumar, P Kumar… - … Technology & Innovation, 2021 - Elsevier
The inspection of insulator faults is an important task to prevent catastrophic failures in the
operation of an electric substation. Manual inspection of overhead power line insulators can …

The current state of the art in research on predictive maintenance in smart grid distribution network: Fault's types, causes, and prediction methods—A systematic …

MA Mahmoud, NR Md Nasir, M Gurunathan, P Raj… - Energies, 2021 - mdpi.com
With the exponential growth of science, Internet of Things (IoT) innovation, and expanding
significance in renewable energy, Smart Grid has become an advanced innovative thought …

Review of fault detection techniques for predictive maintenance

D Divya, B Marath, MB Santosh Kumar - Journal of Quality in …, 2023 - emerald.com
Purpose This study aims to bring awareness to the developing of fault detection systems
using the data collected from sensor devices/physical devices of various systems for …

Deep learning image-based defect detection in high voltage electrical equipment

I Ullah, RU Khan, F Yang, L Wuttisittikulkij - Energies, 2020 - mdpi.com
The increase in the internal temperature of high voltage electrical instruments is due to a
variety of factors, particularly, contact problems; environmental factors; unbalanced loads; …

Thermographic methodologies used in infrastructure inspection: A review—Post-processing procedures

I Garrido, S Lagüela, R Otero, P Arias - Applied Energy, 2020 - Elsevier
The different thermal behaviour between defects and unaltered zones allows the detection
and thermal characterisation of superficial, and subsuperficial defects, which must be …