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, p. 447-454

Show more +

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

[1] S. Katipamula, P. Michael, and R. Brambley, “Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems— A Review, Part II,” HVAC&R Res., vol. 11, no. 2, 2005.

[2] R. Isermann, “Model-based fault-detection and diagnosis – status and applications,” Annu. Rev. Control, vol. 29, no. 1, pp. 71–85, Jan. 2005.

[3] P. Struss, “Model-based problem solving,” in in Handbook of Knowledge Representation, Elsevier, vol. 6526, no. 07, V. L. and B. P. F. van Harmelen, Ed. Elsevier B.V., 2008, pp. 395 – 465.

[4] O. Dressler and P. Struss, “The consistencybased approach to automated diagnosis of devices,” in in Principles of Knowledge Representation, G. Brewka, Ed. Stanford, CA, USA: Center for the Study of Language and Information, 1996, pp. 267 – 311.

[5] ASHRAE, ASHRAE Handbook: Fundamentals (SI edition). Atlanta, GA: American Society of Heating, Refrigerating and Air-conditioning Engineers, 2009.

[6] M. Wetter, “Simulation Model: Finned Water-to-Air Coil without Condensation. LBNL-42355,” 1999.

[7] P. Struss, “Models of Behavior Deviations in Model-based Systems,” in European Conference on Artificial Intelligence, pp. 883–887.

[8] P. Struss and A. Fraracci, “Automated Model-Based FMEA of a Braking System,” Fault Detect. Superv. Saf. …, no. Safeprocess, pp. 1–6, 2012.

Citations in Crossref