Model-based fault detection and diagnosis of air handling units: A comparison of methodologies

Raymond Sterling, Gregory Provan, Jesús Febres, Dominic O'Sullivan, Peter Struss, Marcus M. Keane

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations

Abstract

This paper presents a comparison between two model based diagnostics methodologies that can be used to detect and diagnose various faults that occur in Air Handling Units. The process from model development to inference diagnostics is highlighted with emphasis on the requirements for implementing a successful model based diagnosis solution. Comparative results of both methodologies on an air handling unit are presented and thoroughly discussed using as a benchmark the rule-based approach known as air-handling unit performance assessment rule-set.

Original languageEnglish
Pages (from-to)686-693
Number of pages8
JournalEnergy Procedia
Volume62
DOIs
StatePublished - 2014
Event6th International Conference on Sustainability in Energy and Buildings, SEB 2014 - Cardiff, Wales, United Kingdom
Duration: 25 Jun 201427 Jun 2014

Keywords

  • Air handling units
  • Fault detection and diagnosis

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