Fault classification driven by maintenance management for smart maintenance applications

R Bodo, M Bertocco, A Bianchi - … on Metrology for Industry 4.0 & …, 2020 - ieeexplore.ieee.org
The study focuses on health monitoring applications that enables companies to offer smart
maintenance services in the general context of industry 4.0. To this aim, a common practice …

A micro-service-based machinery monitoring solution towards realizing the Industry 4.0 vision in a real environment

A Naskos, N Nikolaidis, V Naskos, A Gounaris… - Procedia Computer …, 2021 - Elsevier
This work presents a modular Smart Maintenance Platform (SMP), which offers a toolbox of
condition monitoring tools for the day-to-day inspection of the machinery equipment in a real …

Machine Learning enabled Condition Monitoring Models for Predictive Maintenance of Boilers

V Prabhu, D Chaudhary - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
The fourth industrial revolution (Industry 4.0) encompasses three major technological trends
driving this transformation: Connectivity, Intelligence and Flexible Automation. Predictive …

Development process to bearing fault diagnostic and prognostic for the predictive maintenance era

B El Kihel - E3S Web of Conferences, 2022 - e3s-conferences.org
Today, the manufacturing industry seeks to improve competitiveness by converging on new
technologies to ensure a new engine of growth, moreover, systems based on IoT and …

Maintenance 4.0: Intelligent and predictive maintenance system architecture

A Cachada, J Barbosa, P Leitño… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
In the current manufacturing world, the role of maintenance has been receiving increasingly
more attention while companies understand that maintenance, when well performed, can be …

Deployment of a smart and predictive maintenance system in an industrial case study

F Alves, H Badikyan, HJA Moreira… - 2020 IEEE 29th …, 2020 - ieeexplore.ieee.org
Industrial manufacturing environments are often characterized as being stochastic, dynamic
and chaotic, being crucial the implementation of proper maintenance strategies to ensure …

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 …

Application of predictive maintenance concepts using artificial intelligence tools

D Cardoso, L Ferreira - Applied Sciences, 2020 - mdpi.com
The growing competitiveness of the market, coupled with the increase in automation driven
with the advent of Industry 4.0, highlights the importance of maintenance within …

Towards a platform to implement an intelligent and predictive maintenance in the context of industry 4.0

EM Bourezza, A Mousrij - Artificial Intelligence and Industrial Applications …, 2021 - Springer
In the world of the 4th industrial revolution and in order to master the production tools, the
company must have a relevant maintenance management system. Therefore, it is necessary …

Machine learning for the predictive maintenance of a Jaw Crusher in the mining industry

M Guerroum, M Zegrari, AA Elmahjoub… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Diagnosis and prognosis are both crucial and interlinked steps in the context of predictive
maintenance of rotating machines. Risk management correlated with machine Reliability …