• Title, Summary, Keyword: Partial discharge

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Characteristics of Ultra High Frequency Partial Discharge Signals of Turn to Turn Defect in Transformer Oil (절연유 내 변압기 Turn간 결함에 의한 부분방전의 극초단파 전자기파 신호 특성)

  • Yoon, Jin-Yul;Ju, Hyung-Jun;Goo, Sun-Geun;Park, Ki-Jun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.10
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    • pp.2000-2004
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    • 2009
  • In general, for the condition monitoring of a power transformer using the UHF PD measuring technique, detection of any partial discharge, identifying the defect in the transformer and locating the insulation defect are necessary. In this paper one of the most frequent detects which can result in turn to turn fault in power transformer was examined for identifying the defect. In order to model the defect, as a discharge source, a partial discharge cell was used for experimental activity. Magnitude of electromagnetic wave signals and corresponding amount of apparent discharge were measured simultaneously against phase of applied voltage to the discharge cell. Frequency range and phase resolved partial discharge signals were measured and analyzed. The results will be contributed to build the defect database of power transformer and to decrease the occurrence of transformer faults.

Design of Optimized Radial Basis Function Neural Networks Classifier Using EMC Sensor for Partial Discharge Pattern Recognition (부분방전 패턴인식을 위해 EMC센서를 이용한 최적화된 RBFNNs 분류기 설계)

  • Jeong, Byeong-Jin;Lee, Seung-Cheol;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.9
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    • pp.1392-1401
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    • 2017
  • In this study, the design methodology of pattern classification is introduced for avoiding faults through partial discharge occurring in the power facilities and local sites. In order to classify some partial discharge types according to the characteristics of each feature, the model is constructed by using the Radial Basis Function Neural Networks(RBFNNs) and Particle Swarm Optimization(PSO). In the input layer of the RBFNNs, the feature vector is searched and the dimension is reduced through Principal Component Analysis(PCA) and PSO. In the hidden layer, the fuzzy coefficients of the fuzzy clustering method(FCM) are tuned using PSO. Raw datasets for partial discharge are obtained through the Motor Insulation Monitoring System(MIMS) instrument using an Epoxy Mica Coupling(EMC) sensor. The preprocessed datasets for partial discharge are acquired through the Phase Resolved Partial Discharge Analysis(PRPDA) preprocessing algorithm to obtain partial discharge types such as void, corona, surface, and slot discharges. Also, when the amplitude size is considered as two types of both the maximum value and the average value in the process for extracting the preprocessed datasets, two different kinds of feature datasets are produced. In this study, the classification ratio between the proposed RBFNNs model and other classifiers is shown by using the two different kinds of feature datasets, and also we demonstrate the proposed model shows superiority from the viewpoint of classification performance.

The Noise Removal Methode of Partial Discharge Signal (부분방전 신호 검출 시 노이즈 제거방법)

  • Choi, Mun-Gyu;Cha, Hanju
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.8
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    • pp.1436-1441
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    • 2016
  • Currently, partial discharge diagnosis in the field of prevention applied technology and diagnostic equipment is a possible strong limit to remove the noise generated by external or internal I still have one unreliable diagnosis. This technology is the noise removal from signal the time lag analysis algorithms technique is applied by a fundamental. Increasing the reliability in terms of technology spectrum frequence of analysis method for by applying the acquisition through the position of the frequency content and sources of traffic lights partial discharge of the acquisition of signal analysis to judge whether a way diagnosis the environment of the scene, and conditions. Partial discharge signal and make the discharge while building blocks were found through the Analysis. Spectrum frequence of Analysis and wide discharge part, to be more precise, in line with the various functions, including the analysis technique band. Diagnosis and comes up with advanced technology that can detect the presence of a position. This method is portable single device developed for maintenance and mobility and ease and convenience of getting caught by discharge of the pattern analysis and position detection method suitable for a new diagnosis will suggest.

On Line Partial Discharge Measurement Method for Transformer (온라인 변압기 부분방전 측정기법)

  • Kweon, Dong-Jin;Choi, In-Hyuk;Song, Il-Keun;Park, Jae-Jun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.38-42
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    • 2001
  • This paper describes an application of the on line partial discharge measurement method in operating transformer. In the operating transformer, the partial discharge signal may be superimposed by radio intereference voltage(RIV) and pulse shaped noise signals generated by external corona. The partial discharge quantity showed about 3,800pC due to very high sinusoidal interferences at the measuring impedance terminal of the transformer bushing tap. In order to reject these noises, this paper applied RIV filter, band-pass filters and noise gating method. The resulting measuring sensitivity was improved from 3,800pC to 160pC.

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A Study on Insulation Diagnosis by Partial Discharge Spectroscopy of Generator Stator Winding (발전기 고정자 권선의 부분방전 특성을 이용한 절연진단 연구)

  • Kang, D.S.;Kim, Y.J.;Kim, K.Y.
    • Proceedings of the KIEE Conference
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    • pp.584-587
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    • 1993
  • Mica, which have a good thermal and electrical characteristics, while will cleave easily at these layers. In order to bond mica materials soldily, mica/epoxy composite insulation materials were developed for generator stator winding. There are lots of problems such as delamination and partial discharge of these insulation materials caused by mechanical, electrical and thermal aging. Several experiments have been conducted in order to find the useful diagnostic parameters from the partial discharge phenomena by applying a new measurement techniques. this paper deals with the partial discharge pulse characteristics, which may be a useful diagnostic concept in predicting insulation condition of generator stator insulation materials. Long term insulation aging test shows that partial discharge phase angle an magnitude are identified as one of the main key techniques for insulation diagnosis on generator stator winding.

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Determination Method of O.T. Aging Level by Model Partial Discharge Test (모의 부분방전 시험에 의한 O.T. 절연열화 판정기준 설정 방안)

  • 진상범;권동진;곽회로;정용기;조국희
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • pp.85-95
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    • 1995
  • This paper describes a diagnosis of transformer by ultrasonic signal due to partial discharge. The ultrasonic signal can be measured when partial discharge is generated in a real transformer. The trend of partial discharge in transformer was estimated by counting the number of ultrasonic signals until insulation paper in the point-to-plane electrode is destroyed. The number of ultrasonic signals is closely related to the number of the electrical signals by partial discharge. The trend of the ultrasonic signal number could easily be distinguished by taking moving average.

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Estimation of The Partial Discharge Position Using Neural Networks in The Power Transformers (신경망을 이용한 전력용 변압기의 부분방전 위치추정)

  • Kim, Jae-Chul;Yoon, Yong-Han;Kim, Young-Sik;Kweon, Dong-Jin
    • Proceedings of the KIEE Conference
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    • pp.1649-1651
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    • 1994
  • This paper presents a new method for estimating partial discharge position using improved cross-correlation technique and neural networks in the power transformer. When ultrasonic signal is occurred by partial discharge, we detected these signals and calculated cross-correlation values with Hamming window. Also, we estimated partial discharge position using neural network with cross-correlation values. In the result of case study, we can estimate more accurately the partial discharge position than any other algorithms.

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Study on the Partial Discharge Characteristics in Polyethylene Using Ultrasonic Sensors (초음파 센서를 이용한 폴리에틸렌의 부분방전특성연구)

  • 이정원;서광석;박치영;곽회로;송일근
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.283-286
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    • 1996
  • A signal generated by partial discharge in low density Polyethylene (LDPE) and cross- linked polyethylene (XLPE) has been detected by ultrasonic sensors. The observed signal is analysed with the quantity of partial discharge, number of peaks, and energy ($\Sigma$y$^2$). It was found that signals between LDPE and XLPE are quite different and that the signal of XLPE has very long duration time and rising time, and that the quantity of partial discharge of XLPE is saturated. It was also found that tree retardant XLPE (TR-XLPE) has lower quantity of partial discharge, number of peaks, and energy than naturalal XLPE.

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Partial Discharge Measurement of Oil-Paper Insulation by Dual Measuring Impeadance (절연유-절연지에서 이중 임피던스에 의해 부분방전측정)

  • Kim, K.H.;Ryu, H.S.;Sun, J.H.
    • Proceedings of the KIEE Conference
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    • pp.1778-1780
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    • 1996
  • In this paper, we describe the partial discharge measurement with measuring impedance to have two wide frequency band transformers(filters) in the oil-paper and air insulation. The measuring impedance consists of high and low limiting frequency transformers. This measuring impedance could be measured the partial discharge current wave. We have the results that the amplitude partial discharge pulse ratio of low limiting frequency tranformer to high limiting frequency one is varied in the condition(in oil-paper insulation and air) to generate partial discharge.

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A study on the PD detecting of C-GIS using AE sensor (AE센서를 이용한 C-GIS의 부분방전 검출에 관한 연구)

  • Lee, H.Y.;Lee, Y.H.;Sin, Y.S.;Seo, J.M.
    • Proceedings of the KIEE Conference
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    • pp.1659-1661
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    • 2003
  • Recently, diagnostic techniques have been investigated to defect a partial discharge in high voltage electrical equipment. We have studied the characteristics of the acoustic partial discharge originating from the electrical defects in cubicle GIS(C-GIS). An acoustic emission(AE) sensor is used on the enclosure to detect partial discharge source because the sensor is sensitive to stress waves in its frequency range that may not be from a partial discharge source. AE signal is analyzed with phase-magnitude-frequency number(${\Phi}$-V-n) and pulse per second(PPS). Experience result has shown that the omitted acoustic signal has phase dependency and phase shift characteristic according to increase with applied voltage. These result will be helpful to the pattern recognition of the acoustic partial discharge in a C-GIS.

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