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http://dx.doi.org/10.3795/KSME-B.2005.29.11.1220

Fuzzy Algorithm for FDD Technique Development of System Multi-Air Conditioner  

Choi, C. S. (성균관대학교 대학원 기계공학과)
Tae, S. J. (성균관대학교 대학원 기계공학과)
Kim, H. M. (성균관대학교 기계공학부)
Cho, K. N. (성균관대학교 기계공학부)
Moon, J. M. (삼성전자 시스템가전사업부)
Kim, J. Y. (삼성전자 시스템가전사업부)
Kwon, H. J. (삼성전자 시스템가전사업부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.29, no.11, 2005 , pp. 1220-1228 More about this Journal
Abstract
Fault detection and diagnostic (FDD) systems have the potential to reduce equipment downtime, service costs, and utility costs. In this study, model based algorithm and fuzzy algorithm were used to detect and diagnose various fault at System multi-air conditioner. various fault include the Refrigerant Low charging, Fouling of Indoor Heat Exchanger, Fouling of Outdoor Heat Exchanger A experimental verification was conducted in the 6HP System multi-air conditioner on an 8-floor building. Test results showed diagnosis result about 78 $\~$ 90$\%$ for given faults. This Study lays the foundation fur future work on develope the real-time fault detection and diagnosis system for the System multi-air conditioner.
Keywords
System Multi-Air Conditioner; Fuzzy Algorith; Fault Detection and Diagnosis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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