DEVELOPMENT OF FAULT DETECTION AND DIAGNOSIS METHOD FOR WATER CHILLER
When operating a complex facility, Fault Detection and Diagnosis (FDD) system is beneficial in equipment management to provide the operator with tools which can help find out a failure of the system. In this research, FDD algorithm was developed using the general pattern recognition method that can be applied to water chiller system. The simulation model for water chiller system was developed in order to obtain characteristic data of water chiller system under normal and faulty operation. We tested FDD algorithm of a water chiller using data from simulation model. Comparisons were conducted between Bayes classifier method and normalized distance method. Sensitivity analysis of fault detection was carried out with respect to fault progress. More than 7 parameters are recommended to detect failure modes of this study accurately. FDD algorithm developed in this study was found to indicate each failure modes accurately.