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Yoshida, Harunori; Kumar, Sanjay. RARX algorithm based model development and application to real time data for on-line fault detection in Vav Ahu Units. In: BUILDING SIMULATION, 6., 1999, Kyoto. Anais... Kyoto, 1999. p. 161-168.
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Abstract

Assimilation of cost-effective Fault Detection and Diagnosis (FDD) technique in building management system can save enormous amount of energy and material. In this paper, Recursive Autoregressive Exogenous Algorithm is used to develop dynamic FDD model for variable air volume air handling units. A methodology, based upon frequency response of the model is evolved for automatic fault detection and diagnosis. Results are validated with data obtained from a real building after introducing artificial faults. It is concluded that the method is quite robust and can detect and diagnose several types of faults.
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