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전력기기 열화 진단을 위한 부분방전 모의 및 측정 알고리즘 개발연구
장형택(Hyeong-Taek Jang),곽선근(Sun-Geun Kwack),신판석(Pan-Seok Shin),김창업(Chang-Eob Kim),정교범(Gyo-Bum Chung) 한국조명·전기설비학회 2011 조명·전기설비학회논문지 Vol.25 No.8
This paper proposes a new intelligent diagnosis equipment for the partial discharge, which keeps deteriorating the insulating materials inside electric machineries, ultimately leading to electrical breakdown. In order to simulate experimentally the partial discharge inside the electric machinery, the tip-to-plate, the sphere-to-plate, the sphere-to-sphere and the plate-to-plate electrodes are used respectively, of which the gaps are 1[㎜], 3[㎜] or 5[㎜] and the applied voltages are 3[㎸], 5[㎸] or 7[㎸]. Ceramic coupler sensor and FIR digital filter are used to measure the partial discharge and the artificial neural network is used for the deterioration diagnosis of the electric machinery. The microprocessor of PD diagnosis equipment is DSP (TMS320C6713) with FPGA (CycloneⅡ). The results of the real-time and on-line experiments performed with the developed equipment are also explained.