• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 E
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• pp.2212-2214
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• 1999

In this paper, a novel Generator On-line Diagnosis System (GODS) is proposed. This system monitors the insulation condition of the stator winding by on-line measurements of partial discharge (PD). Sensor, such as SSC (Stator Slot Coupler) and RFCT (Radio Frequency Current Transformer) are used for PD measurement. PD signals are continuously measured and digitized with a high speed A/D converter to build the database of the generator's insulation condition. Also this system can communicate with the central monitoring system via RS-485. This helps more efficient operation and maintenance of the generator.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 C
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• pp.1843-1845
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• 2000

GIS(Gas insulated switchgear)내부에서 발생한 부분방전 신호를 검출 할 수 있는 UHF(Ultra-high frequency) 부분방전 검출 센서를 345 kV GIS의 AC 내전압 시험에 적용하였다. 부분방전 센서를 적용한 상태에서 각 상별로, bus별로 나누어 계통 최고전압의 1.0 p.u, 1.5 p.u, 1.73 p.u 전압을 단계적으로 인가하였으며 간헐적으로 부분방전 신호가 검출됨을 확인하였다. 간헐적인 부분방전 신호는 GIS 내부에 있던 이물질에서 약한 방전이 시작되고 인가전압을 높임에 따라 방전의 강도가 증가하다 소멸되었다. 방전을 일으킨 이물질이 모두 증발되었거나 위치 변화에 의해 방전이 소멸된 것으로 판단된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 C
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• pp.1840-1842
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• 2000

GIS(Gas Insulated Switchgear) 내부에서 부분방전 신호를 검출 할 수 있는 UHF(Ultra High Frequency) 센서를 제작하고 그 특성을 조사하였다. UHF 센서는 GIS 내부에서 전기적, 기계적으로 안정된 형태로 제작되었으며, 영국의 NGC(National Grid Company)에서 제시한 규격을 충분히 만족함을 확인하였다. 부분방전 신호가 발생되는 모형 GIS 내에 UHF 센서를 장착하여 실제 부분방전 산호가 잘 측정됨을 확인하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 C
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• pp.1843-1844
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• 2003

154 kV급 가스절연개폐장치(GIS)용dp 장착할 수 있는 내장형 극초단파 (UHF) 부분방전(PD) 센서의 고주파 특성을 전산모사 하였다. UHF PD 센서는 일종의 광대역 안테나이므로 3차원 전자기장 해석도구를 활용하여 주파수 또는 시간 영역에서 고주파특성을 해석하였다. 센서의 구조를 결정하는 센서장착용 구멍과 센서의 크기를 변수로 조절하면서 내장형 UHF PD 센서의 특성을 해석 하였다. 센서가 장착되는 구멍의 크기와 센서의 구조변화에 따라 반사손실이 변화하였으며 GIS의 전파 mode의 영향을 받는다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.2008-2009
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• 2007

The paper considers the relation between on-line monitoring and diagnostics on the one hand and high-voltage (HV) withstand and partial discharge (PD) on-site testing on the other. HV testing supplies the basic data (fingerprints) for diagnostics. In case of warnings by on-line diagnostic systems, off-line withstand and PD testing delivers the best possible information about defects and enables the classification of the risk. Because alternating voltage (AC) is the most important test voltage, the AC generation on site is considered. Frequency tuned resonant (ACRF) test systems are best adapted to on-site conditions. They can be simply combined with PD measuring equipment. The available ACRF test systems and their application to electric power equipment -from cable systems to power transformers - is introduced.

• 한국철도학회논문집
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• 제20권2호
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• pp.203-209
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• 2017

전력공급의 안정성 및 신뢰도 향상을 위해 각종 전력설비의 예방진단에 관한 연구개발이 활발하다. 가스절연개폐장치와 변압기와 같은 단위 기기의 절연진단기술은 빠르게 발전하고 있으나, 전력케이블에 있어서는 단순히 결함의 유무와 부분방전을 측정할 뿐, 세부적 특성에 대해서는 거의 연구되고 있지 않다. 따라서 본 논문에서는 XLPE 케이블에서 보이드의 크기와 위치에 따른 부분방전 특성과 결함의 위치추정에 관한 연구를 수행하였다. 보이드의 크기 및 위치에 따른 4종의 결함계를 모의하였으며, 부분방전펄스는 주파수 대역 150kHz~30MHz의 고주파변류기로 검출하였다. 실험결과, 도체에 인접한 결함일수록 방전전하량이 크고, 정극성에 비해 부극성의 방전펄스 수가 약 20% 많게 나타났다. 또한 TDR 방법으로 결함위치를 산출하였으며, 50m 케이블에서 1m 이내로 결함의 위치를 추정할 수 있었다.

• 한국전기전자재료학회논문지
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• 제20권10호
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• pp.895-900
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• 2007

Partial discharge(PD) test can be performed either when the rotating machine is not operating(off-line) or during normal machine operation(on-line). This paper presents an on-line and off-line PD test on a large hydro-generator and induction motor using the same PD acquisition system(PDAS) and ceramic coupler(CC) sensor. PD signal characteristics of CC sensor proved similar with that of epoxy mica coupler(EMC) sensor as a results of PD test for simulated defect winding and frequency response test. A comparison of on-line and off-line PD test for PD characteristic parameters-phase resolved PD(PRPD), maximum PD value(Qmax) and PD occurrence energy(POE)-indicated that on-line PD test could reliably and effectively diagnose insulation conditions which were verified by off-line PD test.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 C
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• pp.1845-1848
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• 2003

PD(Partial Discharge) signal have the range from several kHz to several GHz. External noises don't give any interference to discerning PD signals with high frequency bandwidth between several hundreds MHz to several GHz but, in the range between several decades kHz to several MHz, are big obstacles to prevent from discriminating PD signals. Therefore, selecting appropriate filter to decrease the influence of noise is important problem. PD signals have the characteristics both short duration and non-continuous pulse train. For separating PD signals from External noises, some different filtering methods different from conventional ones are needed and wavelet filtering method was convinced to be suitable filtering method in various investigations. This paper has simulated PD signal and various noises and investigated the influences for the performance of wavelet filter by varying the components relative to designing of wavelet filter and constructed suitable one. For the purpose of convincing the performance of wavelet filter, real PDs were produced in needle to plane electrode structure. This small PD signal was mixed with external noises and filtered with wavelet filter. We have obtained apparent PD signals and noises are well suppressed by wavelet filter.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 하계학술대회 논문집
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• pp.585-591
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• 2000

The wavelet transform is the most recent technique for processing signals with time-varying spectra. In this paper, the wavelet transform is utilized to improved the assessment and multi-resolution analysis of acoustic emission signals generating in partial discharge. This paper especially deals with the assessment of process statistical parameter using the features extracted from the wavelet coefficients of measured acoustic emission signals in case of applied voltage 20[kv]. Since the parameter assessment using all wavelet coefficients will often turn out leads to inefficient or inaccurate results, we selected that level-3 stage of multi decomposition in discrete wavelet transform. We applied FIR(Finite Impulse Response)digital filter algorithm in discrete to suppression for random noise. The white noise be included high frequency component denoised as decomposition of discrete wavelet transform level-3. We make use of the feature extraction parameter namely, maximum value of acoustic emission signal, average value, dispersion, skewness, kurtosis, etc. The effectiveness of this new method has been verified on ability a diagnosis transformer go through feature extraction in stage of acting(the early period, the last period) .

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2006년도 하계학술대회 논문집 Vol.7
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• pp.505-506
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• 2006

PD(partial discharge) occurred from variable PD sources in air may be the cause of breakdown in high voltage equipment which affect huge outage in power system. Identification and localization of PD sources is very important for engineer to cope with huge accident beforhand. PD phenomena can be detected by acoustic emission sensor or electromagnetic sensor like antenna. This paper has investigated the identification method using PCA(principal component analysis) for the PD signals from variable PD sources, for which the electric field distribution and PD inception voltages were simulated by using commercial FEM program. PD signals was detected by ultra wideband antenna. Their own features were extracted as the frequency coefficients transformed with FFT(fast fourier transform) and used to obtain independent pincipal components of each PD signals.