Diagnosis of air handling units based on engineering and qualitative models

Peter Struss, Umbreen Sabir, Raymond Sterling, Jesús Febres, Marcus M. Keane

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a methodology for model-based fault detection and diagnosis underpinned by Modelica models and using a qualitative approach to diagnosis, which has been applied to diagnosis of an air handling unit based on data recorded by a building management system. The main steps from model development to component diagnosis are discussed and illustrated using a heating coil component.

Original languageEnglish
Title of host publicationProceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014
EditorsJorg Roth, Ajith P. Abraham, Antonio Palma dos Reis
PublisherIADIS
Pages91-98
Number of pages8
ISBN (Electronic)9789898704108
StatePublished - 2014
EventEuropean Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Lisbon, Portugal
Duration: 15 Jul 201417 Jul 2014

Publication series

NameProceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014

Conference

ConferenceEuropean Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014
Country/TerritoryPortugal
CityLisbon
Period15/07/1417/07/14

Keywords

  • Air-handling units
  • Automated diagnosis
  • Model-based diagnosis
  • Modelica models
  • Qualitative models

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