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Fault Detection and Diagnosis for Brine to Water Heat Pump Systems
KTH, School of Engineering Sciences (SCI), Mechanics.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This research project is part of a wider project called Smart Fault Detection and Diagnosis for HeatPump Systems currently under development by the Royal Institute of Technology (KTH).Generally, maintenance, diagnosis and repair of heat pumps are manual operations. The quality of the service relies almost exclusively on the skills, experience and motivation of the HVAC-Rtechnician. Moreover, professional technicians are only called up after a remarkable failure occursand not to perform routine follow up.The main objective of this master thesis will be to propose a method for fault detection of thebrine to water heat pump systems under operating conditions. It will be done by focusing into ninetests faults related to the first boundary level which represents the heat pump unit, the brine andwater loop. A model based approach was developed to generate features and parameters capableof reading the status of the system. The fault detection was done by imposing test faults in themodel and evaluating the trend of the performance parameters. By comparing the predicted fault free values with the actual values (Residuals) from the model, several algorithms were proposed and conducted in order to obtain an online fault detection and diagnosis.It is concluded that the fault trend analysis can, in principle, provide a solution to detect faults inheat pump systems. The algorithms are considered user friendly tools, however more improvements needs to be done to include more faults and increase its resolution.

Place, publisher, year, edition, pages
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-143192OAI: diva2:705805
Subject / course
Fluid Mechanics
Educational program
Master of Science - Engineering Mechanics
2014-02-06, Brinellvägen 68, Stockholm, 10:00 (English)
Available from: 2014-03-27 Created: 2014-03-18 Last updated: 2014-03-27Bibliographically approved

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Vecchio, Daniel
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