[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2002.2.1.033

Development of Insulation Degradation Diagnosis System for Electrical Plant

Kim, Yi-Gon (Dept. of Electrical and Semiconductor Engineering, Yosu National University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.2, no.1, 2002 , pp. 33-37 More about this Journal

Abstract

Insulation aging diagnosis system provides early warning regarding electrical equipment defects. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear. it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a electromagnetic wave and acoustic signal to diagnose an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, we design of the neuro-fuzzy model that diagnoses an electrical equipment and is investigated in this paper. Validity of the new method is asserted by numerical simulation.

Keywords

ICA(Independent components analysis); IDDS(insulation Degradation Diagnosis System); Neuro-fuzzy model; Ultrasonic waves; Electromagnetic waves; Acoustic emission(AE);

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