Automated fault detection and diagnosis methods for supermarket equipment (RP-1615)

Alireza Behfar, David P Yuill, Yuebin Yu

Research output: Contribution to journalArticle

5 Citations (Scopus)

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 to categorize and assess the automated fault detection and diagnostics approaches, from the perspective of a potential adopter of automated fault detection and diagnostics technology for a supermarket setting. The article concludes that supermarket automated fault detection and diagnostics is still in the early stages of development and that there is a need to further develop automated fault detection and diagnostics methods for supermarket applications. To facilitate the development of supermarket-specific automated fault detection and diagnostics approaches, additional data sets from refrigeration equipment are needed.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalScience and Technology for the Built Environment
DOIs
StateAccepted/In press - Jul 6 2017

Fingerprint

Fault detection
Failure analysis
Refrigeration
Refrigerants
Operating costs
Energy utilization
Degradation

ASJC Scopus subject areas

  • Environmental Engineering
  • Building and Construction
  • Fluid Flow and Transfer Processes

Cite this

Automated fault detection and diagnosis methods for supermarket equipment (RP-1615). / Behfar, Alireza; Yuill, David P; Yu, Yuebin.

In: Science and Technology for the Built Environment, 06.07.2017, p. 1-14.

Research output: Contribution to journalArticle

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