Predictive maintenance 4.0 for chilled water system at commercial buildings: a systematic literature review

Malek Almobarek, Kepa Mendibil, Abdalla Alrashdan

Research output: Contribution to journalReview articlepeer-review

9 Citations (Scopus)
48 Downloads (Pure)

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.
Original languageEnglish
Article number1229
Number of pages30
JournalBuildings
Volume12
Issue number8
DOIs
Publication statusPublished - 13 Aug 2022

Keywords

  • predictive maintenance
  • faults detection and diagnosis
  • chilled water system
  • commercial buildings
  • Industry 4.0
  • Quality 4.0
  • data-driven analysis

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