An Experimental Study on Multi-Fault Detection and Diagnosis Analysis of HVAC System

HVAC 시스템의 중복고장 검출을 위한 실험적 연구

  • Cho Sung-Hwan (Building Energy Research Center, KIER) ;
  • Hong Young-Ju (Graduate School of Mechanical Design Engineering, ChungNam National University) ;
  • Yang Hooncheul (Building Energy Research Center, KIER) ;
  • Ahn Byung-Cheon (Department of Building Equipment System Engineering, Kyungwon University)
  • 조성환 (한국에너지기술연구원) ;
  • 홍영주 (충남대학교 기계설계공학과 대학원) ;
  • 양훈철 (한국에너지기술연구원) ;
  • 안병천 (경원대학교 건축설비공학과)
  • Published : 2004.10.01

Abstract

The objective of this study is to detect the multi-fault of HVAC system using a new pattern classification technique. To classify the effect of single-fault in determining the pattern, supply air temperature, OA-damper, supply fan, and air flowrate were chosen as experimental parameters. The combination of supply temperature, flow rate, supply fan and OA-damper were chosen as multi-fault conditions. Three kinds of patterns were introduced in the analysis of multi-fault problem. To solve multi-fault problem, the new pattern classification technique using residual ratio analysis was introduced to detect the multi-fault as well as single-fault. The residual ratio could diagnose single-fault or multi-fault into several patterns.

Keywords

References

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