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A Study on Steady-State Criterion based on COV and a Fault Detection Method during GHP Operation

GHP 운전시 COV에 의한 정상상태 판별 및 이상검출 방법 연구

  • 신영기 (세종대학교 기계공학과) ;
  • 오세재 ((주) LG전자 가산R&D 캠퍼스 AE연구소 Chiller그룹) ;
  • 정진희 ((주) LG전자 가산R&D 캠퍼스 AE연구소 Chiller그룹)
  • Received : 2011.08.16
  • Accepted : 2011.09.28
  • Published : 2011.11.10

Abstract

Fault detection has to be proceeded by steady state filtering to get rid of transient effect associated with thermal capacity. Coefficient of variance (COV), ratio of standard deviation devided by moving average, was employed as steady-state filter. Engine speed and refrigerant pressures were selected as parameters representing system dynamics. The filtered values were registered as members of steady-state DB. They were found to show good functional relationship with ambient temperature. The relationship was fitted with a second order polynomial and the distribution bounds of the data around the fitted curve were expressed by visual inspection because of varying average and random data interval. Fault data were compared with the steady-state data obtained during normal operation. The fault data were easily isolated from the fault-free one. To make such isolation reliable, tests to construct good DB should be designed in a systematic way.

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References

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