| Title |
Development of a Fault Detection and Diagnosis Algorithm Using Fault Mode Simulation for a Centrifugal Chiller |
| Authors |
한동원(Dong Won Han) ; 장영수(Young-Soo Chang) |
| Keywords |
고장검출 및 진단 ; 터보냉동기 ; 표준화 거리 기법 ; 분류기 Fault detection and diagnosis ; Centrifugal chiller ; Normalized distance method ; Classifier |
| Abstract |
When operating a complex facility, Fault Detection and Diagnosis (FDD) system is beneficial in equipment management by providing 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 classifier method that can be applied to centrifugal chiller system. The simulation model for a centrifugal chiller system was developed in order to obtain characteristic data of turbo chiller system under normal and faulty operation. We tested FDD algorithm of a centrifugal chiller using data from simulation model at full load performance and 60% part load performance. In this research, we presented fault detection method using a normalized distance. Sensitivity analysis of fault detection was carried out with respect to fault progress. FDD algorithm developed in this study was found to indicate each failure modes accurately. |