• 제목/요약/키워드: $\psi$-q-n pattern

검색결과 5건 처리시간 0.019초

기중방전의 특성분석과 Kohonen network에 의한 방전원의 패턴분류 (Properties and classification of air discharge by Kohonen network)

  • 강성화;박영국;이광우;김완수;이용희;임기조
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 1999년도 춘계학술대회 논문집
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    • pp.704-707
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    • 1999
  • Partial discharge(PD) in air insulated electric power systems is responsible for considerable power lossesfrom high voltage transmission lines. PD in air often leads to deterioration of insulation by the combined action of the discharge ions bombarding the surface and the action of chemical compounds that are formed by the discharge and may give rise to interference in ommunication systems. PD can indicate incipient failure. Thus understanding and classification of PD in air is very important to discern source of PD. In this paper, we investigated PD in air by using statical method. We classified air discharge with corona, surface discharge and cavity discharge by source of discharge. we used the mean pulse-height phase distribution $H_{qmean}(\psi)$, the max pulse-height phase distribution $H_{qmax}(\psi)$ , the pulse count phase distribution $H_n(\psi)$ and the max pulse height vs. repetition rate $H_{q}(n)$ for analysis PD pattern. We used statistical operators, such as skewness(S+. S-1, kurtosis(K+, K-), mean phase(AP+. AP-), cross-correlation factor(CC) and asymmetry from the distribution.

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저밀도 폴리에틸렌에서 전기트리에 수반되는 부분방전의 특성 (Properties of Partial Discharge accompanying with Electrical Tree in LDPE)

  • 이광우;박영국;강성화;장동욱;임기조
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 1999년도 춘계학술대회 논문집
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    • pp.234-238
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    • 1999
  • The correlation between shape of electrical trees and partial discharge(PD) pulses in low density polyethylene(LDPE) were discussed. We observed growth feature of electrical tree by using optical microscope. On the basis of experimental results of measurements of trees occurring in the needle-plane arrangement with needle shape void and without needle shape void , statistical quantities are derived, which are relevant to PD pulse amplitude and phase. The PD quantities detected by partial discharge detector. we were analyzed q-n distribution pattern and $\psi$ -q-n distribution pattern. In this experiment, electrical trees in the needle-plane arrangement with needle shape void propagated branch type tree and in the needle-plane arrangement without needle shape void propagated bush type tree

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반도전 입자를 갖는 PET film내에서의 PD Pattern 분석 (Analysis PD Pattern in PET film with semiconductor particle)

  • 최필문;정병선;이종찬;박대희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 E
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    • pp.2399-2401
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    • 1999
  • This paper indicate that phase resolved partial discharge pattern are investigated on PET films with semiconductor particle. In this study, we measured phase-resolved PD pattern and statistical parameter from PET specimens according to containing semiconductor particle. Measurement system is the conventional PD detector using digital signal processing technique. The relationship of semiconductor particle in PET film was discussed through the difference of $\psi$-q-n distribution and statistical analysis.

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저밀도 폴리에틸렌에서 부시형 전기트리에 수반되는 부분방전 펄스의 특성 (Properties of PD Pulses Accompanying with Bush-type Tree in LDPE)

  • 강성화;박영국;정수현;이광우;임기조
    • 한국전기전자재료학회논문지
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    • 제11권12호
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    • pp.1055-1059
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    • 1998
  • The correlation between the propagation of electrical tree and distributions of partial discharge(PD) pulses accompanying with electrical tree of bush type in low density polyethylene were discussed. We measured the growth of electrical tree by using optical microscope and PD data simultaneously. The PD data detected and analyzed were PD magnitude, repetition rate, average discharge power, average phase angle, and $\psi$-q-n distribution pattern. The average discharge power and repetition rate of PD had good linear relation with area of tree. Repetition rate and peak discharge magnitude and width of discharge phase angle increased with the tree.

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부분방전 패턴의 인식 (Recognition of Partial Discharge Patterns)

  • 이준호;이진우
    • 조명전기설비학회논문지
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    • 제14권2호
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    • pp.8-17
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    • 2000
  • 본 연구에서는 부분방전의 인식을 위한 두가지 접근법을 제안하였다. 첫 번째로는 백프로파게이션 알고리즘을 적용한 신경회로망이구 두 번째로는 두 연산자 백터간의 사이각 계산이다. 부분방전신호는 IEC(b), 침대평판 및 CIGRE method II 등 3가지 전극계로부터 각각 검출되었다. 신경회로망과 벡터의 사이각을 이용한 방법 모두 이리 학습된 패턴에 대해서는 양호한 인식능력을 보였다. 그려고 사용되는 연산자의 수가 미학습패턴의 인식능력에 큰 영향올 미쳤다.

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