Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | From Modelica Models to Fault Diagnosis in Air Handling Units
Göm menyn

Title:
From Modelica Models to Fault Diagnosis in Air Handling Units
Author:
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
DOI:
10.3384/ecp14096447
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
96
Article no.:
047
Pages:
447-454
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Export in BibTex, RIS or text

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

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

Author:
Raymond Sterling, Peter Struß, Jesús Febres, Umbreen Sabir, Marcus M. Keane
Title:
From Modelica Models to Fault Diagnosis in Air Handling Units
DOI:
http://dx.doi.org/10.3384/ecp14096447
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.

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

Author:
Raymond Sterling, Peter Struß, Jesús Febres, Umbreen Sabir, Marcus M. Keane
Title:
From Modelica Models to Fault Diagnosis in Air Handling Units
DOI:
http://dx.doi.org/10.3384/ecp14096447
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2017-02-21