• 제목/요약/키워드: Tool insulation

검색결과 67건 처리시간 0.029초

인공신경망을 이용한 수변전설비의 예방보전을 위한 고장 조기 감지시스템에 관한 연구 (A Study on the Fault Early Detection System for the Preventive Maintenance in Power Receiving and Substation)

  • 이정기
    • 한국산업융합학회 논문집
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    • 제14권3호
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    • pp.95-100
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    • 2011
  • The modern society longing for the convenience of up-to-date technology, there are attempts of miniaturization and high reliance of power equipments in the effectiveness aspect of urban area's usage of space while requiring more electrical energy than now. Consequently, paper used to the Neral Network for a forcasting conservation system. A neral network is powerful asta modeling tool that is able to capture and represent complex input/output relationships. The true power and advantage of neral networks lies in their ability to learn these relationships directly from the data being modeled. Traditional linear models are simply inadequate when it comes to modeling data that contains non-linear characteristics. Form results of this study, the Neral Network is will play an important role for insulation diagnosis system of real site GIS and power eqipment using $SF_6$ gas.

154kV 활선 애자련의 불량애자를 검출하는 활선애자 점검기 개발 (Development of Inspection Tool for 154kV Live-line Insulator string)

  • 이재경;박준영;오기용;조병학
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.373-374
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    • 2008
  • To prevent an insulator failure, a new inspection system is presented for 154kV insulator strings. The inspection system detects fault insulators by measuring resistance and voltage of each insulators in the 154kV insulator string. The inspection instrument obtains autonomously insulation resistance and assigned voltage along the insulator string. The insulator inspection instrument is manipulated by two operators. In addition, a set of mechanism is applied to prevent the system from being reset under live-line condition. We confirmed its effectiveness through experiments.

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인공신경망을 이용한 $SF_6$ 절연파괴 전압 추정 (The presumption that breakdown characteristics of $SF_6$ used to the Neural Network)

  • 최은혁;김태은;임창호;박용권;최상태;이광식
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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    • pp.421-423
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    • 2007
  • The paper used to the Neral Netwok for a forecasting conservation system A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform "intelligent" tasks similar to those performed by the human brain. The true power and advantage of neural network lies in their ability to represent both linear and non-linear relationships and in their ability to learn these relationships directly from the data being modeled. Form results of this study, the Neral Netwok is will play an important role for insulation diagnosis system of real site GIS and power equipment using $SF_6$ gas.

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가스분석을 이용한 전력용 변압기 이상진단 연구 (A Study of the Preventive Diagnostic Algorithm of Gas Analysis in Oil for Power Transformer)

  • 최인혁;권동진;정길조;유연표;선종호;신명철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 C
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    • pp.1676-1678
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    • 2001
  • In general, power demand is on an increasing trend as industries have made rapid strides. Power transformer is the most important equipment in substation for this reason. Transformer trobles go with blackout, expensive repair costs and huge economic losses. Therefore it is important to find the quick detection of incipient fault for the least losses. There have been gas, partial discharge, temperature, OLTC, fan and pump diagnosis for preventive techniques by present. Specially gas analysis has been adapted for a long time and proved as confident method. In this paper, we analysed the fault causes of used power transformer. The insulation faults was occupied 40% of inquired 152 faults from 1991 to 2000. This study presents the developed algorithm and expert system for finding abnormal status within transformer. We used the Element Expert tool developed Neuron DATA Inc.

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LDPE에서 전기트리에 수반된 부분방전 펄스의 특성 (Properties of PD Pulses accompanying with Electrical Tree in LDPE)

  • 박영국;배민호;강성화;임기조;박대희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 C
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    • pp.1507-1509
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    • 1997
  • Property of insulation of electric machine is severely affected by process of electrical tree growing. Partial discharges(PD) have been used to determine degradation of insulations. In this paper, PD quantities detected and analyzed are PD magnitudes, repetition rates, phase angle distribution of PD pulses, and wavelet transformation. The wavelet transformation is an extended method of fourier transformation. The fourier transformation is a powerful tool for signal analysis, but it can't include informations for time. However the wavelet transformation analysis can include on the informations of time and frequencies at the same time. This paper discusses correlation between process of electrical tree growing and characteristics of PD in LDPE specimens.

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건물의 열성능 평가 지표에 관한 연구 (A Study of Thermal Performance Evaluation Index for Building)

  • 김미현;서승직
    • 한국태양에너지학회 논문집
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    • 제27권4호
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    • pp.67-75
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    • 2007
  • This study intends to the adequacy inspection of the room temperature variation rate that is available in the building heat performance evaluation index, so we performed the sensitivity analysis about the room temperature variation rate and the energy consumption in the room. For these purpose, we supposed the models which are composed of the various window area, insulation thickness and ventilation rate. Then we analyzed the simulation using the ESP-r and Seoul weather data. In this research, the pattern of the increasing & decreasing rate of annual load according to the change of the various design factors is similar to the pattern of increasing & decreasing rate of not the K-values but the room temperature variation rate. Also we derive the optimum value of the various design factors and the room temperature variation rate in this analysis model. Further study is to be required the development of convenient tool to use in the real design.

오피스건물 리뉴얼시 패시브 요소적용에 따른 에너지성능 및 PMV 개선에 관한 연구 (Analysis of Energy Performance and PMV Improvement by Application of Passive Factor for Office Building Renewal)

  • 홍원표
    • 조명전기설비학회논문지
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    • 제28권12호
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    • pp.55-64
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    • 2014
  • This paper presents a case study to investigate the monthly calculation method of ISO 13790 applied for a office building. The energy performance analysis according to improvement of insulation and air permeability of windows in K office buildings is investigated by means of building energy efficiency rating tool ($ECO_2-OD$). The K building energy system is tested experimently by the measurement of PMV(predicted mean vote) for the control of indoor thermal environment and heat transmission coefficient of windows and interior walls respectively, before and after the example K office building is remodeled passively. Therefore, Internet based energy assessment program of energy efficiency rating of office building can be applied as a program for the annual energy requirement and for evaluation of energy savings from the experimental and simulation results.

가스분석을 이용한 변압기의 이상진단 알고리즘 연구 (A Study of the Preventive Diagnostic Algorithm of Gas in Oil for Power Transformer)

  • 최인혁;권동진;정길조;유연표;선종호;김광화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 C
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    • pp.1903-1905
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    • 2000
  • Power transformers have a tendency of ultra-high voltage capacity as power demand increases day after day KEPCO also will have plan to supply transmission power from 345KV to 765KV in the early of 2000. Therefore, the fault by insulation destruction gives rise to large area of power failure in huge capacity transformers. On-line predictive diagnostics is very important in power transformers because of economic loss and its spreading effect. This study presents the algorithm for transformer oil analysis used KEPCO code, IEC code, gas pattern method and Dornenburg & Roger Ratio method. We also describe the MMI display of expert system programmed by Element Expert Tool(Neuron Data Inc.).

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공동주택 입주자의 발코니 확장, 비 확장 선택 지표 도출에 관한 연구 (Development of decision making index for balcony extension in apartment houses)

  • 이혜린;박민하;고용호;한승우
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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    • pp.219-220
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    • 2015
  • Along with the legalization of balcony extension, numerous contractors have been suggesting designs for apartment houses based on the residents desire for balcony extension. It has been investigated that most residents prefer the balcony extension due to the increase in space. However, numerous residents have been experiencing problems occurred due to the extension such as air conditioning and heating cost and sound insulation problems. Therefore, this study aims to suggest an objective decision making tool for the residents that aids the residents decision making on balcony extension considering pros and cons of balcony extension.

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경사기능재료의 굽힘강도 평가에 관한 연구 (A Study on Evaluation of Bending Strength in FGM)

  • 송준희;김홍건
    • 한국생산제조학회지
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    • 제18권6호
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    • pp.658-663
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    • 2009
  • Metal/ceramic composites structures have many attractive properties with great potential for applications that demand high stiffness as well as chemical and biological stability, thermal and electrical insulation. They are currently in use for mechanical and thermal protection in cutting tool and engine parts. Thus, determination of adhesive properties for coating part is one of the most important problems for the extension of the use of coated materials. In this work, bending strength of Functionally Graded Materials(FGM) are evaluated by means of bending strength tester. The graded layer according to the load condition showed the change of the bend strength.

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