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http://dx.doi.org/10.5391/JKIIS.2015.25.1.057

Design of Fuzzy Inference-based Deterioration Diagnosis System through Different Image  

Kim, Jong-Bum (Department of Electrical Engineering, The University of Suwon)
Choi, Woo-Yong (Department of Electrical Engineering, The University of Suwon)
Oh, Sung-Kwun (Department of Electrical Engineering, The University of Suwon)
Kim, Young-Il (Department of Electrical Engineering, Daelim University College)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.1, 2015 , pp. 57-62 More about this Journal
Abstract
In this paper, we design fuzzy inference-based deterioration diagnosis system through different image for rapid as well as efficient diagnosis of electrical equipments. When the deterioration diagnosis of the electrical equipment starts, abnormal state of assigned area is detected by comparing with the temperature of the first normal state of the area. Deterioration state of detected area is diagnosed by using fuzzy inference algorithm. In the fuzzy inference algorithm, fuzzy rules are defined by If-then form and are described as look-up table. Both temperature and its ensuing variation are used as input variables. While triangular membership function is used for the fuzzy input variables of fuzzy rules, singleton membership function is used for the output variable of fuzzy rules. The final output is calculated by using the center of gravity of fuzzy inference method. Experimental data acquired from individual electrical equipments is used in order to evaluate the output performance of the proposed system.
Keywords
Fuzzy inference; Difference-image technique; Center of gravity;
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Times Cited By KSCI : 1  (Citation Analysis)
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