Predictive Maintenance 4.0 for Chilled Water System at Commercial Buildings: A Systematic Literature Review
Author(s): |
Malek Almobarek
Kepa Mendibil Abdalla Alrashdan |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 31 July 2022, n. 8, v. 12 |
Page(s): | 1229 |
DOI: | 10.3390/buildings12081229 |
Abstract: |
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: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10692754 - Published on:
23/09/2022 - Last updated on:
10/11/2022