• The Journal of Information Technology
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• v.2 no.2
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• pp.13-22
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• 1999

In this paper, we purpose automatic diagnosis in online, as the fundamental study to diagnose the partial discharge mechanism and to predict the lifetime by introduction a neural network. In the proposed method, we use AE(acoustic emission) sensing system and calculate a quantitative statistic parameter by pulse number and amplitude. Using statically parameters such as the center of gravity(G) and the gradient if the discharge distribute(C), we analyzed the early stage and the middle stage. the quantitative statistic parameters are learned by a neural network. The diagnosis of insulation degradation and a lifetime prediction by the early stage time are achieved. On the basis of revealed excellent diagnosis ability through the neural network learning for the patterns during degradation, it was proved that the neural network is appropriate for degradation diagnosis and lifetime prediction in partial discharge.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1376-1377
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• 2008

가스절연변압기(GITr)는 우수한 절연내력과 높은 신뢰성을 장점으로 가지고 있지만, 제작과 운전 단계에서 절연 결함이 발생할 수 있고 이러한 결함들은 가스절연변압기 사고의 원인이 될 수 있다. 따라서 결함에 대한 상시 진단 및 원인 분석이 반드시 선행되어야 하며 이와 같은 진단 분석 기법의 하나로 내부 절연결함의 위치 판별에 대한 연구의 필요성이 절실히 요구되고 있다. 따라서 본 논문에서는 일반적으로 부분 방전의 위치 판별을 위한 time delay 측정법 중 하나인 Cross-correlation 방법과 함께 제안한 Threshold-Initial peak detection 방법을 적용하여 위치 데이터를 취득하고 신뢰구간 이내의 데이터만 사용하여 부분 방전 위치 판별 한 결과, 더욱 정확한 위치 판별이 가능하였다.

• Electric Engineers Magazine
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• s.109
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• pp.32-38
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• 1991

• 열병합발전
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• s.80
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• pp.8-11
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• 2011

• JOURNAL OF ELECTRICAL WORLD
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• s.287
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• pp.48-53
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• 2000

• Electric Engineers Magazine
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• s.110
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• pp.29-33
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• 1991

• 전기의세계
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• v.45 no.4
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• pp.3-4
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• 1996

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.6
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• pp.136-144
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• 2004

Dissolved gas in oil analysis has been used for fault diagnosis of oil immersed insulation. In this paper to improve the reliability in deciding the degradation causes of the oil immersed insulation, we carried out electrical and thermal degradations for the insulations, and analyzed the characteristics of dissolved gases distribution on each situation. As a result more reliable faults discrimination is possible if we use the interrelation of factors like key gases and gas compositions of hydrocarbon gases and ratios of CO/$CO_2$.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.5
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• pp.47-52
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• 2008

In this paper partial discharge were simulated by conducted particle, a fine protrusion, surface discharge, which could be easy accumulated charge and concentrated electric field in the model GIS. In this times this paper measured and analyzed the radiated electromagnetic waves by using spectrum analyzer and antenna ($30{\sim}2,000[MHz]$ for measurement of EMI EMC in accordance with occurrence and propagation of partial discharge. In the basis of this results, a novel UHF(Ultra High Frequency) spherical sensor is presented. The measured impedance bandwidth of the proposed antenna is from 0.3[GHz] to 1.7[GHz]. Form results of this study, this antenna will be playing an important role for the sensor for insulation diagnosis system by UHF method of real site GIS and power equipment using $SF_6$ gas.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.313_314
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• 2009

현재 가스절연개폐장치 예방진단에 가장 광범위하게 적용되는 것이 UHF 부분방전 진단법이다. 부분방전시 방사되는 전자파 에너지를 Sensor가 수신하여 전압위상도에 신호강도를 표시하고 전자파 도달시간을 이용하여 결함위치를 쉽게 파악할 수 있는 장점이 있는 반면 Noise 간섭에 취약하여 부분방전 진단결과의 신뢰성이 확보되지 못하는 문제점이 있어 본 연구에서는 가스절연개폐장치의 부분방전 진단시 Noise의 영향과 차폐개선을 통한 부분방전 측정의 새로운 해법을 제시하고자 한다.