Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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Development of a Fault Detection and Diagnosis Algorithm Using Fault Mode Simulation for a Centrifugal Chiller

고장모사 시뮬레이션을 이용한 터보냉동기의 고장검출 및 진단 알고리즘 개발

  • 한동원 (고려대학교 기계공학과 대학원) ;
  • 장영수 (한국과학기술연구원)
  • Published : 2008.10.10
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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.

Keywords

References

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