RX model based fault detection and diagnosis for chillers using upport vector machines

Experimental results demonstrate the superiority of the hybrid method incorporating auto-regressive model with exogenous variables (ARX) and support vector machines over conventional approaches with higher prediction accuracy and lower false alarm rates.