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A model-parameter invariant 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 model-based detector for detecting actuator failures in HVAC systems which dynamically estimates the model parameters while performing detection. 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 that the inter-room thermal parameters are constant. The detector is formulated to provide performance that asymptotically bounds both the probability of miss and the probability of false alarm. A simulation environment is developed that emulates the building thermal dynamics assuming parameters identified through experimental testing. Multiple testing scenarios are considered where the inter-room dynamics are physically altered between tests (by opening and closing windows and doors). Results indicate that the ability to accurately detect actuator failures is shown to be dependent on the inter-room thermal dynamics. Insights into other modelparameter-invariant based detectors are provided based on the results obtained from this thesis.

Place, publisher, year, edition, pages
2012. , 31 p.
EES Examensarbete / Master Thesis, XR-EE-RT 2012:027
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering
URN: urn:nbn:se:kth:diva-104838OAI: diva2:567676
Available from: 2012-11-13 Created: 2012-11-13 Last updated: 2012-11-13Bibliographically approved

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XR-EE-RT_2012-027_Dario Papale(1829 kB)335 downloads
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Automatic Control
Electrical Engineering, Electronic Engineering, Information EngineeringControl Engineering

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