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Automated fault detection and diagnosis methods for supermarket equipment (RP-1615)
- Source :
- Science and Technology for the Built Environment. 23:1253-1266
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- Many automated fault detection and diagnostics methods have been developed for application to building mechanical systems over the past 20 years because they have the potential to reduce operating costs and energy consumption by providing early warning of performance degradation faults. Supermarkets could be a very beneficial setting to deploy automated fault detection and diagnostics, particularly in the refrigeration systems, which are major energy users and are known to commonly suffer from significant refrigerant leakage problems. The current article provides an overview of the common mechanical systems deployed in supermarkets, and then describes a comprehensive review of the literature on automated fault detection and diagnostics methods from other systems that could potentially be applied in supermarket settings. A collection of supermarket field data is analyzed in the context of its potential use in automated fault detection and diagnostics methods from other systems. The review includes methods ...
- Subjects :
- Fluid Flow and Transfer Processes
Engineering
Environmental Engineering
Warning system
business.industry
020209 energy
Field data
0211 other engineering and technologies
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Building and Construction
Energy consumption
Fault detection and isolation
Reliability engineering
Diagnosis methods
021105 building & construction
0202 electrical engineering, electronic engineering, information engineering
Forensic engineering
business
Subjects
Details
- ISSN :
- 2374474X and 23744731
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Science and Technology for the Built Environment
- Accession number :
- edsair.doi...........89e1e45bf1b73cf605b34284a1624198
- Full Text :
- https://doi.org/10.1080/23744731.2017.1333352