Change search
ReferencesLink to record
Permanent link

Direct link
A model-based approach to HVAC fault detection and diagnosis
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis develops and experimentally evaluates a sequential model-based detector for detecting actuator failures in HVAC systems. Specifically, this thesis considers actuator failures which result in the actuator valve sticks in an unknown (but constant) position. A first order heat-equation model is assumed to model interactions between adjacent rooms, which is used to formulate a hypothesis testing problem assuming known inter-room thermal parameters. The detector is formulated to provide performance that asymptotically bounds both the probability of miss and the probability of false alarm. A wireless sensor network was deployed and employed in coordination with the campus SCADA system to both demonstrate the detector performance and identify model parameters. Multiple testing scenarios are considered where the inter-room dynamics are physically altered (by opening and closing windows and doors). The time required to accurately determine the inter-room thermal parameters is studied, where parameter identification is performed using a time-series least-squares approach. Results indicate that when the model parameters are accurately known, the detector performance is acceptable; however, inaccurate modeling assumptions lead to significant detector performance degradation.

Place, publisher, year, edition, pages
2012. , 38 p.
Series
EES Examensarbete / Master Thesis, XR-EE-RT 2012:028
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-104836OAI: oai:DiVA.org:kth-104836DiVA: diva2:567673
Uppsok
Technology
Examiners
Available from: 2012-11-13 Created: 2012-11-13 Last updated: 2012-11-13Bibliographically approved

Open Access in DiVA

XR-EE-RT 2012-028_Francesca Mele(1039 kB)955 downloads
File information
File name FULLTEXT01.pdfFile size 1039 kBChecksum SHA-512
acd3e5d4d90240fb3a7fff8832ce2e25acc96f9d71fbec406188e790f4a9d0cf03a08334686b3ea863ccb14e6894e4c62f34fadebf0ffa3d270ee5eb53e378b2
Type fulltextMimetype application/pdf

By organisation
Automatic Control
Electrical Engineering, Electronic Engineering, Information EngineeringControl Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 955 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 256 hits
ReferencesLink to record
Permanent link

Direct link