Transactions of the Korean Society of Mechanical Engineers B (대한기계학회논문집B)

The Korean Society of Mechanical Engineers (대한기계학회)
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Neuro-Fuzzy Diagnostic Technique for Performance Evaluation of a Chiller

뉴로 퍼지를 이용한 냉동기 성능 진단 기법

  • 신영기 (세종대학교 기계공학과) ;
  • 장영수 (한국과학기술연구원 열유동제어 연구센터) ;
  • 김영일 (한국과학기술연구원 열유동제어 연구센터)
  • Published : 2003.05.01
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Abstract

On-site diagnosis of chiller performance is an essential step fur energy saving business. The main purpose of the on-site diagnosis is to predict the COP of a target chiller. Many models based on thermodynamics background have been proposed for this purpose. However, they have to be modified from chiller to chiller and require deep insight into thermodynamics that most of field engineers are often lacking in. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). Quality of the training data for ANFIS, sampled over June through September, is assessed by checking COP prediction errors. The architecture of the ANFIS, its error bounds, and collection of training data are described in detail.

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References

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