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 language | English |
|---|---|
| Article number | 1229 |
| Journal | Buildings |
| Volume | 12 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Industry 4.0
- Quality 4.0
- chilled water system
- commercial buildings
- data-driven analysis
- faults detection and diagnosis
- predictive maintenance
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