HEAT FLOW MODELING OF HVAC SYSTEMS FOR FAULT DETECTION AND DIAGNOSIS
Gerhard Zimmermann, Yan Lu, George Lo
We present a new graph-based modeling methodology called Heat Flow Modeling (HFM) for HVAC system fault detection and diagnosis. It aims at using the mod- ularity of graphs to achieve a direct automated mapping of HVAC structures and components into HFM graphs and to use node behavior model and software libraries to translate HFM graphs into software systems that can be directly integrated in HVAC control systems. The function of the graph is on one hand a simplified per- formance simulation, on the other hand a failure rule evaluation. The graph structure allows for central or distributed implementations. Prototype implementations in Simulink and in a software specification language have been performed.
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