Performance simulation of fault detection and diagnosis algorithm for absorption chiller
- Performance simulation of fault detection and diagnosis algorithm for absorption chiller
- 한동원; 장영수; 김서영; 김용찬
- Fault Detection and Diagnosis; 고장검출 및 진단; Absorption chiller; 터보냉동기; Normalized distance method; 표준화 거리 기법; 분류기
- Issue Date
- 2010년 대한설비공학회 하계학술발표대회
- 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 absorption chiller system. The simulation model for absorption chiller system was developed in order to obtain characteristic data of absorption chiller system under normal and faulty operation. We tested FDD algorithm of absorption chiller using simulation model data. 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.
- Appears in Collections:
- KIST Publication > Conference Paper
- Files in This Item:
There are no files associated with this item.
- RIS (EndNote)
- XLS (Excel)
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.