A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS

Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of maintenance operations to keep assets functional...

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Main Authors: DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2024-03-01
Series:Journal of Engineering Studies and Research
Subjects:
Online Access:https://jesr.ub.ro/index.php/1/article/view/412
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author DRAGOS-ALEXANDRU ANDRIOAIA
VASILE GHEORGHITA GAITAN
author_facet DRAGOS-ALEXANDRU ANDRIOAIA
VASILE GHEORGHITA GAITAN
author_sort DRAGOS-ALEXANDRU ANDRIOAIA
collection DOAJ
description Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of maintenance operations to keep assets functional. In this paper, the authors perform an analysis of predictive maintenance system, proposed in the specialized literature, highlighting their component elements.
format Article
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institution Kabale University
issn 2068-7559
2344-4932
language English
publishDate 2024-03-01
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
record_format Article
series Journal of Engineering Studies and Research
spelling doaj-art-371f950bfbf54da6b76ec7c6dfa32f712025-02-09T11:36:47ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322024-03-01294A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMSDRAGOS-ALEXANDRU ANDRIOAIAVASILE GHEORGHITA GAITAN Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of maintenance operations to keep assets functional. In this paper, the authors perform an analysis of predictive maintenance system, proposed in the specialized literature, highlighting their component elements. https://jesr.ub.ro/index.php/1/article/view/412predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning
spellingShingle DRAGOS-ALEXANDRU ANDRIOAIA
VASILE GHEORGHITA GAITAN
A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
Journal of Engineering Studies and Research
predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning
title A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
title_full A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
title_fullStr A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
title_full_unstemmed A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
title_short A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS
title_sort specialty literature review of the predictive maintenance systems
topic predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning
url https://jesr.ub.ro/index.php/1/article/view/412
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AT vasilegheorghitagaitan aspecialtyliteraturereviewofthepredictivemaintenancesystems
AT dragosalexandruandrioaia specialtyliteraturereviewofthepredictivemaintenancesystems
AT vasilegheorghitagaitan specialtyliteraturereviewofthepredictivemaintenancesystems