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http://dx.doi.org/10.3795/KSME-B.2003.27.5.553

Neuro-Fuzzy Diagnostic Technique for Performance Evaluation of a Chiller  

Shin, Young-Gy (세종대학교 기계공학과)
Chang, Young-Soo (한국과학기술연구원 열유동제어 연구센터)
Kim, Young-Il (한국과학기술연구원 열유동제어 연구센터)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.27, no.5, 2003 , pp. 553-560 More about this Journal
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.
Keywords
Centrifugal Chiller; Artificial Neural Network; ANFIS; COP; Performance diagnosis;
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