• 제목/요약/키워드: Plane Detection

검색결과 310건 처리시간 0.027초

超音波 信號 數의 移動平均에 의한 電力用 變壓器 豫防診 (Preventive diagnosis of the power transformer by the moving average of ultrasonic signal number)

  • 권동진;곽희로;정상진;김정부
    • 대한전기학회논문지
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    • 제45권3호
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    • pp.432-437
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    • 1996
  • This paper describes a diagnostic technique of power transformers by on-line detection of ultrasonic signals. A trend of partial discharge variation in a real transformer was estimated by counting the number of ultrasonic signals until insulation paper in the point-to-plane electrode is punctured. The number of electrical signals is closely related to the ultrasonic signals generated by partial discharge. The trend of the ultrasonic signal number could easily be distinguished by taking moving average. The insulation failure due to partial discharge in transformers can be predicted based on the trend analysis of ultrasonic signal number caused by partial discharge. (author). 14 refs., 10 figs.

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애폭시수지의 트리성장에 따른 초음파 신호검출 (Detection of Ultrasonic Signals Associated with Tree Growth in Epoxy resin)

  • 이상우;송현직;이광식;이동인;김인식
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 1998년도 춘계학술대회 논문집
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    • pp.285-288
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    • 1998
  • Ultrasonic signal characteristics related with the growth of electrical trees in epoxy resin are examined under 67[Hz] ac voltage application along with a CCD camera and PD current method. The ultrasonic sensor with a resonant frequency of 200[Hz] supported by a mechanical spring is attached directly to the lower-side of plane electrode. The magnitude of Partial discharge and count rate of ultrasonic signals have been measured according to the tree growth from a needle tip in an epoxy sample.

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XLPE 절연물내의 전기트리 진전 시 PD 검출 및 특성분석 (PD Detection and Analysis of Electrical Treeing Progress into XLPE Insulator)

  • 박성희;정해은;강성화;임기조
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.215-216
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    • 2006
  • Solid insulation exposed to voltage is degraded by electrical tree process. And the degradation of the insulation is accelerated by voltage application. For this experimental, specimen of e1ectrical tree model is made by XLPE (cross-linked polyethylene). And the size of the specimen is $7*5*7\;mm^3$. Distance of need1e and plane is 2 mm. Voltages applied for acceleration test are 12 kV to 15 kV. And distribution characteristic of degraded stage is studied too. As a PD detecting and data process, discharge data acquire from PD detecting system (Biddle instrument). The system presents statistical distribution as phase resolved. Moreover the processing time of electrical tree is recorded to know the speed of degradation according to voltage.

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균열의 고조파 발생에 대한 유한요소해석 (Finite Element Analysis of Harmonics Generation by Cracks)

  • 양승용;김노유
    • 한국전산구조공학회논문집
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    • 제22권6호
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    • pp.573-577
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    • 2009
  • 균열에 초음파가 입사될 경우, 반사파와 투과파가 발생한다. 균열에 의해 발생한 반사파와 투과파는 구조물 내부의 균열을 검출하기 위한 유용한 정보로 사용된다. 본 논문에서는 유한요소해석을 이용하여, 4가지 균열의 경사각도에 대해 균열주위의 모니터링 포인트에서의 동적변위를 계산하였다. 이를 바탕으로 푸리에 변환을 적용시켜 균열 주위에서 위치에 따라 주파수 특성이 변하는 경향을 조사하였다. 모델은 2차원 평면응력 경우를 고려하였고, 유한요소해석 프로그램은 ABAQUS/Explicit을 사용하였다.

마이크로폰 어레이를 이용하여 차량 하부에서 발생한 결함의 위치를 찾아내는 방법 (A method to find the position of fault in a moving vehicle using microphone arrays)

  • 김양한;전종훈
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2006년도 추계학술대회 논문집
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    • pp.144-151
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    • 2006
  • Sound generated from a moving vehicle often carries information on the condition of vehicle, for example, whether it has faults or not, where the fault exists. The latter is possible especially by MFAH(moving frame acoustic holography) and beamforming method. MFAH is applicable to the sound source of pure tone or narrow band noise. For the beamforming method, we have to know what kind of wave the sound source radiates, for example, plane wave or spherical wave. That is, whether the above methods are applicable depends on the characteristics of sound source. To apply these methods to the fault detection, we have to know the characteristics of wave from faults. In this research, a machine diagnosis technique based on the above holographic approaches is introduced to find the position of faults. The signal due to faults is modeled based on the fact that the faults radiate impulsive noise, and analyzed in time and frequency domain. The way how MFAH and beamforming method can be used is introduced to find the position of source.

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변압기 부분방전에 의한 초음파 신호의 발생형태 (Patterns of the Ultrasonic Signal caused by Partial Discharge in Transformer)

  • 권동진;최인혁;정길조;박찬영;나현석;박재준
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2000년도 하계학술대회 논문집
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    • pp.581-584
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    • 2000
  • Generally, it is known that many partial discharges are occurred in one voltage cycle. In this case, it is not easy to distinguish between ultrasonic signals caused by the partial discharge. We describes a pattern of the ultrasonic signal by the partial discharge in transformer. The test setup for ultrasonic signal measurement was to simulate a internal partial discharge by using a needle to plane electrodes. We compared the number of partial discharge and ultrasonic signal in one voltage cycle. The results showed that it was possible to distinguish between ultrasonic signals by analysing partial discharge detection method and ultrasonic signal on time domain.

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복잡한 배경에서 움직이는 물체의 영역분할에 관한 연구 (A Segmentation Method for a Moving Object on A Static Complex Background Scene.)

  • 박상민;권희웅;김동성;정규식
    • 대한전기학회논문지:전력기술부문A
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    • 제48권3호
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    • pp.321-329
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    • 1999
  • Moving Object segmentation extracts an interested moving object on a consecutive image frames, and has been used for factory automation, autonomous navigation, video surveillance, and VOP(Video Object Plane) detection in a MPEG-4 method. This paper proposes new segmentation method using difference images are calculated with three consecutive input image frames, and used to calculate both coarse object area(AI) and it's movement area(OI). An AI is extracted by removing background using background area projection(BAP). Missing parts in the AI is recovered with help of the OI. Boundary information of the OI confines missing parts of the object and gives inital curves for active contour optimization. The optimized contours in addition to the AI make the boundaries of the moving object. Experimental results of a fast moving object on a complex background scene are included.

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유중방전 초음파 신호의 광학적 측정 및 wavelet 분석 (The optical measurement and wavelet analysis about ultrasonic signals by discharge in oil)

  • 이상훈;이현철;지승욱;김충년;송현직;이광식
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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    • pp.298-303
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    • 2004
  • It is well known that a discharge in oil is the source of various physical phenomena. Ultrasonic-wave detection is a useful method to the diagnosis of the transformer-insulation condition. Conventionally, ultrasonic waves are detected by Piezo-electric transducer, and we use optical method that has many advantages. In this paper, we constructed a Mach-Zehnder interferometer with optical fiber and investigated the principle of operation. Test arrangement is based rut the needle-plane electrode system in oil and applied AC high voltage Ultrasonic waves were detected and showed signal- analysis results with wavelet transform.

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디지털 X선 영상센서 적용을 위한 진공증착 CsI 특성평가 (The X-ray Detection Characteristic of vacuum evaporated CsI for Digital X-ray Image Sensor)

  • 신정욱;박지군;최장용;석대우;김재형;남상희
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2003년도 춘계학술대회 논문집 센서 박막재료 반도체 세라믹
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    • pp.15-18
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    • 2003
  • In recent years, there has been keen interest in phosphor materials responding X-ray. Cesium iodide of the materials is a material with a high $\gamma$-ray stopping power due to its relative high density and atomic number. CsI is noted for its high resistance to thermal and mechanical shock due to the absence of a cleavage plane. To design the structure of CsI detector, we analysed the structure with SEM and XRD and measured UV meter.

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Image Reconstruction Based on Deep Learning for the SPIDER Optical Interferometric System

  • Sun, Yan;Liu, Chunling;Ma, Hongliu;Zhang, Wang
    • Current Optics and Photonics
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    • 제6권3호
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    • pp.260-269
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    • 2022
  • Segmented planar imaging detector for electro-optical reconnaissance (SPIDER) is an emerging technology for optical imaging. However, this novel detection approach is faced with degraded imaging quality. In this study, a 6 × 6 planar waveguide is used after each lenslet to expand the field of view. The imaging principles of field-plane waveguide structures are described in detail. The local multiple-sampling simulation mode is adopted to process the simulation of the improved imaging system. A novel image-reconstruction algorithm based on deep learning is proposed, which can effectively address the defects in imaging quality that arise during image reconstruction. The proposed algorithm is compared to a conventional algorithm to verify its better reconstruction results. The comparison of different scenarios confirms the suitability of the algorithm to the system in this paper.