A Fault Analysis using Field Data of Air-Conditioning Systems in one Large Scale Building

Abstract

To develope the fault detection & diagnosis system of air-conditioning systems, is important to gather field data and analyze actual faults. We gathered measurement and set point data from almost all controllers of the air-conditioning systems of one large scale building. We prepared the graphs of collected data and checked them on the basis of control informations with the site engineer in charge. And, we classified the knowleges derived from these procedures into basic symptoms, condition of disease, countermeasure list and check flow diagram. These results will be very useful to establish an automatic inspection method by developing effective fault detecting and diagnostic algorism. We will re-evaluate these knowleges for the similar air-conditioning system of other buildings