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Development of a Fault Detection and Diagnosis Algorithm Using Fault Mode Simulation for a Centrifugal Chiller  

Han, Dong-Won (Graduate School of Mechanical Engineering, Korea University)
Chang, Young-Soo (Korea Institute of Science and Technology)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.20, no.10, 2008 , pp. 669-678 More about this Journal
Abstract
When operating a complex facility, Fault Detection and Diagnosis (FDD) system is beneficial in equipment management by providing the operator with tools which can help find out a failure of the system. In this research, FDD algorithm was developed using the general pattern classifier method that can be applied to centrifugal chiller system. The simulation model for a centrifugal chiller system was developed in order to obtain characteristic data of turbo chiller system under normal and faulty operation. We tested FDD algorithm of a centrifugal chiller using data from simulation model at full load performance and 60% part load performance. In this research, we presented fault detection method using a normalized distance. Sensitivity analysis of fault detection was carried out with respect to fault progress. FDD algorithm developed in this study was found to indicate each failure modes accurately.
Keywords
Fault detection and diagnosis; Centrifugal chiller; Normalized distance method; Classifier;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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