Results 11 to 20 of about 2,010,994 (219)

Balanced K-Star: An Explainable Machine Learning Method for Internet-of-Things-Enabled Predictive Maintenance in Manufacturing

Machines, 2023
Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with machine learning (ML) to predict probable failures, which leads to the necessity of maintenance for manufacturing equipment, providing the opportunity to solve the ...
Bita Ghasemkhani, Ozlem Aktas, Derya Birant   +2 more
doaj   +2 more sources

SMART-PDM - Predictive Maintenance Tools to Predict Electrode Degradation in Spot Welding Manufacturing Processes

, 2021
The objective of the SMART-PDM project (ITEA4: 17041 SMART-PDM) is to gather manufacturing data to provide diagnosis and prognosis information for predictive maintenance purposes while rendering underlying technology financially feasible. MONDRAGON ASSEMBLY and LORTEK have collaborated to develop tools to predict the degradation state of electrodes ...
Apraiz, Aitor, Muniategui, Ander
openaire   +3 more sources

PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning [PDF]

International Journal of Electrical and Computer Engineering (IJECE)
Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques in predictive maintenance in industrial systems over the past few years, several challenges remain to be addressed ...
Moulla, Donatien Koulla, Mnkandla, Ernest, ABOUBAKAR, Moussa, Abba Ari, Ado Adamou, Abran, Alain   +4 more
openaire   +2 more sources

Predictive maintenance approaches: A systematic literature review

Journal of Industrial Engineering and Management
Purpose: Predictive maintenance (PdM) aims to optimize maintenance operations by detecting operational anomalies and potential equipment failures before they lead to costly unplanned downtime.
Hicham Taoufyq, Kamal El Guemmat, Khalifa Mansouri, Fatiha Akef   +3 more
doaj   +4 more sources

Exploring predictive maintenance applications in industry [PDF]

, 2022
Purpose - Asset owners and maintainers need to make timely and well-informed maintenance decisions, based on the actual or predicted condition of their physical assets.
Tinga, Tiedo; id_orcid, Tinga, Tiedo, Tiddens, Wieger Willem, Braaksma, Jan   +3 more
core   +2 more sources

Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors [PDF]

, 2014
Manufacturing strives to reduce waste and increase Overall Equipment Effectiveness (OEE). When managing machine tool maintenance a manufacturer must apply an appropriate decision technique in order to reveal hidden costs associated with production ...
Longstaff, Andrew P., Fletcher, Simon, Shagluf, Abubaker, Longstaff, Andrew, Longstaff, A.P., Fletcher, S.   +5 more
core   +4 more sources

Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines [PDF]

, 2022
peer reviewedIn the context of Industry 4.0, companies understand the advantages of performing Predictive Maintenance (PdM). However, when moving towards PdM, several considerations must be carefully examined. First, they need to have a sufficient number
Robert, Jérémy, CORDY, Maxime, de Giorgio, Andrea, LE TRAON, Yves, RUIZ RODRIGUEZ, Marcelo Luis, KUBLER, Sylvain   +5 more
core   +1 more source

A Data Scientific Approach Towards Predictive Maintenance Application in Manufacturing Industry [PDF]

, 2022
Most industries have recently started to harness the power of data to assess their performance and improve their production systems for future competitiveness and sustainability.
Vasudevan, Adarsh, Vasudevan, Adarsh,, Turanoglu Bekar, Ebru,, Skoogh, Anders, Duan, Xinjie, Turanoglu Bekar, Ebru, Gandhi, K., Skoogh, Anders,, Gandhi, K.,, Duan, Xinjie,   +9 more
core   +1 more source

Predictive Maintenance of Norwegian Road Network Using Deep Learning Models

Sensors, 2023
Industry 4.0 has revolutionized the use of physical and digital systems while playing a vital role in the digitalization of maintenance plans for physical assets in an optimal way. Road network conditions and timely maintenance plans are essential in the
Muhammad Umair Hassan, Ole-Martin Hagen Steinnes, Eirik Gribbestad Gustafsson, Sivert Løken, Ibrahim A. Hameed   +4 more
doaj   +1 more source

Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs

, 2021
In manufacturing, small and medium-sized enterprises (SMEs) face global competition. In the field of predictive maintenance (PdM), artificial intelligence (AI) helps to prevent machine failures and has the potential to significantly reduce costs and ...
Lowin, Maximilian, Kellner, Domenic, Chen, Johannes, von Zahn, Moritz   +3 more
core   +1 more source