Predictive Maintenance 4.0 for Chilled Water System at Commercial Buildings: A Systematic Literature Review
Auteur(s): |
Malek Almobarek
Kepa Mendibil Abdalla Alrashdan |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 31 juillet 2022, n. 8, v. 12 |
Page(s): | 1229 |
DOI: | 10.3390/buildings12081229 |
Abstrait: |
Predictive maintenance plays an important role in managing commercial buildings. This article provides a systematic review of the literature on predictive maintenance applications of chilled water systems that are in line with Industry 4.0/Quality 4.0. The review is based on answering two research questions about understanding the mechanism of identifying the system’s faults during its operation and exploring the methods that were used to predict these faults. The research gaps are explained in this article and are related to three parts, which are faults description and handling, data collection and frequency, and the coverage of the proposed maintenance programs. This article suggests performing a mixed method study to try to fill in the aforementioned gaps. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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10692754 - Publié(e) le:
23.09.2022 - Modifié(e) le:
10.11.2022