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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Format: | Article |
Language: | English |
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2024-03-01
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Series: | Journal of Engineering Studies and Research |
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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.
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format | Article |
id | doaj-art-371f950bfbf54da6b76ec7c6dfa32f71 |
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 |
work_keys_str_mv | AT dragosalexandruandrioaia aspecialtyliteraturereviewofthepredictivemaintenancesystems AT vasilegheorghitagaitan aspecialtyliteraturereviewofthepredictivemaintenancesystems AT dragosalexandruandrioaia specialtyliteraturereviewofthepredictivemaintenancesystems AT vasilegheorghitagaitan specialtyliteraturereviewofthepredictivemaintenancesystems |