Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.
Series
EES Examensarbete / Master Thesis, XR-EE-RT 2012:027
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-104838OAI: oai:DiVA.org:kth-104838DiVA: diva2:567676
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_2012-027_Dario Papale(1829 kB)385 downloads
File information
File name FULLTEXT01.pdfFile size 1829 kBChecksum SHA-512
6a4e692200f990fae7901dc71f173d13a1a6fc095e48bcbccfc032491c20ca9da026801f74ab6168fae92be2265a09c4e67442a1ba6ce25f1af70306ed18f6dc
Type fulltextMimetype application/pdf

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

Search outside of DiVA

GoogleGoogle Scholar
Total: 385 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

urn-nbn

Altmetric score

urn-nbn
Total: 247 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf