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
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http://dx.doi.org/10.3384/ecp14096447Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:47, p. 447-454
Published: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (print), 1650-3740 (online)
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.