Conference article

From Modelica Models to Fault Diagnosis in Air Handling Units

Raymond Sterling
Informatics Research Unit for Sustainable Engineering, Ryan Institute, NUI Galway, Ireland

Peter Struß
Computer Science Department, Technische Universität München, Germany

Jesús Febres
Informatics Research Unit for Sustainable Engineering, Ryan Institute, NUI Galway, Ireland

Umbreen Sabir
Computer Science Department, Technische Universität München, Germany

Marcus M. Keane
Informatics Research Unit for Sustainable Engineering, Ryan Institute, NUI Galway, Ireland

Download articlehttp://dx.doi.org/10.3384/ecp14096447

Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Linköping Electronic Conference Proceedings 96:47, s. 447-454

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Published: 2014-03-10

ISBN: 978-91-7519-380-9

ISSN: 1650-3686 (print), 1650-3740 (online)

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.

Keywords

Model-based diagnosis; heating coil; calibration; fault detection and diagnosis

References

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