A master thesis from Aalborg University
Fault Detection and Isolation for a Supermarket Refrigeration System
Author(s)
Term
10. term
Education
Publication year
2009
Submitted on
2009-06-03
Pages
137 pages
Abstract
This report is the documentation for the work done by two master students at the IRS (Intelligent Reliable Systems) line at Aalborg University Esbjerg. The project is developed based on a project-proposal from Danfoss A/S, which also supplied a base-model of a refrigeration system. The focus of the report is the development and testing of different methods for detecting and isolating faults in a supermarket display case. The Kalman Filter, Extended Kalman Filter and Unknown Input Observer have all been tested and compared to each other. A simple online parameter estimation is also tested with good initial results, but due to time constraints it has not been completed. Based on the comparisons, a suggestion for a fault detection and isolation system is given, which will be able to both detect and isolate the most often occurring faults in a display case.
Keywords
Detection ; Isolation ; FDI ; Kalman Filter ; KF ; Extended Kalman Filter ; EKF ; Unknown Input Observer ; UIO ; Display Case ; Refrigeration ; Detektering ; Isolering ; Køledisk
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