• Title/Summary/Keyword: Discharge Signal

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The Feature Extraction of Partial Discharge Electromagnetic Wave utilizing Signal Processing Techniques (신호처리 기술에 의한 부분방전 방사전자파의 특징 추출)

  • 이현동;이광식
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.16 no.1
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    • pp.44-49
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    • 2002
  • In recent years, diagnostic techniques have been investigated to detect a partial discharge(PD) in a high voltage electrical equipment. Because PD signal is very sensitive and difficult to suppress strong noises such as narrow-band radio frequency noise and random noise, the accuracy and credibility of PD measurement might be influenced by surrounding interference. Using the technique of PD detection by electromagnetic wave, we have studied the characteristics of both PD and substation-in interference signal. Also, we propose a wavelet packet transform based technique to perform a feature extraction from the interference and PD signal and a classification of the extracted features. The results show that time-frequency characteristics between PD and interference can be obviously distinguished. It is helpful for the development of the insulation diagnosis technique.

A Study on the Configuration of BOP and Implementation of BMS Function for VRFB (VRFB를 위한 BOP 구성 및 BMS 기능구현에 관한 연구)

  • Choi, Jung-Sik;Oh, Seung-Yeol;Chung, Dong-Hwa;Park, Byung-Chul
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.12
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    • pp.74-83
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    • 2014
  • This paper proposes a study on the configuration of balancing of plant(BOP) and implementation of battery management system(BMS) functions for vanadium redox flow battery(VRFB) and propose a method consists of sensor and required design specifications BOP system configuration. And it proposes an method of the functions implementation and control algorithm of the BMS for flow battery. Functions of BMS include temperature control, the charge and discharge control, flow control, level control, state of charge(SOC) estimation and a battery protection through the sensor signal of BOP. Functions of BMS is implemented by the sensor signal, so it is recognized as a very important factor measurement accuracy of the data. Therefore, measuring a mechanical signal(flow rate, temperature, level) through the BOP test model, and the measuring an electrical signal(cell voltage, stack voltage and stack current) through the VRFB charge-discharge system and analyzes the precision of data in this paper. Also it shows a good charge-discharge test results by the SOC estimation algorithm of VRFB. Proposed BOP configuration and BMS functions implementation can be used as a reference indicator for VRFB system design.

Locating Particle by Ultrasonic Signal and Partial Discharge Signal Pattern in GIS (초음파 신호와 부분방전 신호의 패턴에 의한 GIS내 파티클 위치 추정)

  • 곽희로;이동준
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.14 no.5
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    • pp.12-18
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    • 2000
  • This paper describes the analysis of ultrasonic signal and partial discharge(PD) signal patterns for each location of particle in GIS. The characteristics of the ultrasonic signal and PD signal patterns for each location were as follows; in case of particle on the electrode, large ultrasonic signals and large PD signals occurred in positive half-cycle periodically; in case of particle on the spacer, ultrasonic signals and large PD signals occurred in negative half-cycle periodically; in case of the free moving particle, ultrasonic signals and large PD signals occurred by collision non-periodically. As a result, it was confirmed that particle in GIS could be located by the comparison and analysis of ultrasonic signal and PD signal patterns.

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A Basic Study on Detection of Internal Defects in Distribution Cable Splices (배전용 전력 케이블 접속재의 내부고장 검출에 관한 기초연구)

  • 박치영;진상범;곽희로;김상준;송일근;권동진
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1996.11a
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    • pp.122-124
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    • 1996
  • This paper describes a diagnosis of distribution cable splices by analysis of ultrasonic signals which are generated by partial discharge. A method of ultrasonic signal was used to detect internal defects in distribution cable splices. It is possible that analysis of ultrasonic signal predicts failure by partial discharge generated in distribution cable splices.

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The study on the de-noise for partial discharge signal measured using the antenna (안테나로 측정된 부분방전신호의 노이즈제거 관한 연구)

  • Kim, Young-no;Kim, Jae-chul;Jean, Young-Jae;Seo, In-Chul;Bae, Ju-Cheon;Kang, Chang-Won
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.404-406
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    • 2001
  • This paper is detecting a partial discharge(PD) using antenna. The wavelet transform is applied for the analysis of PD pulse signal. It is difficult to identify PD signal using electromagnetic waves detected by antenna. And so we can removed noise of PD signal using wavelet de-noising method.

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Effective Location Estimation of Partial Discharge Using Ultrasonic Signal's Propagation Characteristic and Neural Network (초음파 전달특성과 신경망을 이용한 효과적인 부분방전 위치 추정)

  • Seo, In-Chul;Kim, Jae-Chul;Jeon, Young-Jae;Kim, Young-No
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.467-469
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    • 2001
  • This paper presents an efficient location estimation methodology for a partial discharge(PD) source in the power transformer. The methodology previously proposed is not suitable for locating a PD source because the ultrasonic signal with medium attenuated through the inner structure. In general, the propagation characteristic of ultrasonic signal with medium is different. Therefore, using this propagation characteristic, we can detect the location of PD source. In this paper, the proposal algorithm finds the PD source using three sensors attached to one side of the transformer without attenuation of the ultrasonic signal and applying the neural network based geometrical method. The proposed methodology demonstrates the effectiveness and validity on an experimental transformer.

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A study on the computer diagnosis that apply Neural-Fuzzy algorithm accumulation detection of Partial Discharge signal (부분방전 신호의 누적검출과 뉴럴-퍼지 알고리즘을 이용한 컴퓨터 진단에 관한 연구)

  • Hwang, Kyoung-Jun;Yeoum, Keoung-Tae;Kim, Yong-Kab;Kim, Jin-Su
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1445-1446
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    • 2007
  • In this paper, we have studied for analysis of the partial discharge(PD) signal in power transmission line. The PD signal has estimated as detected signal accumulation of a PRPDA method by using Labview, and analyzed with neural-fuzzy algorithm. With practical PD logic implementation of theoretical detected system and hardware implementation, the device for Hipotronics Company's 22.9kV or 154kV setup have generated and then have applied with 18kV,20kV with 1:1 time probe. It's also used the LDPE 0.27mmt (scratch error 0.05mmt) to sample for making PD. Our new class of PD detected algorithm have also compared with previous PRPDA or Neural Fuzzy algorithm, which has diagnose more conveniently by adding numerical values.

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Development of Diagnostic Algorithm Using Location of PD at Transformer (변압기 부분방전 위치검출을 통한 진단알고리즘 개발)

  • Lee, Seung-Whan;Oh, Hak-Joon;Shin, Seung-Shik;Yun, Man-Soo;Jung, Chan-Soo
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2178-2180
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    • 2001
  • This paper is the study for the separating noise signal that is the greatest problem in ultrasonic signal measurement which is one of the method of estimation of partial discharge signals location. Because we can measure the number and location of signal, it is possible to distinguish between the signal of partial discharge and the external noise. Therefore, we can develop the credibility of detecting of insulating deterioration in transformer.

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Development of a platform based on JAVA for partial discharge monitoring (부분방전 광역감시를 위한 JAVA기반 진단플랫폼 개발)

  • Jeon, Jin-Hong;Kim, Kwang-Su;Jeong, Jun-Young;Kim, Kwang-Hwa
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.423-425
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    • 2004
  • This raper deals with a platform for diagnosis monitoring of partial discharge based on Java virtual machine. This platform is designed for estimating diagnostic parameters of partial discharge signal and displaying Web-page on operating status. For Web-service, hardware of platform is based on a Strongarm processor and software base is designed on Linux and java virtual machine.

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Characteristics of Ultra High Frequency Partial Discharge Signals from Metallic Particle Defected Oil-paper Insulation in Transformer (변압기 절연지 표면 금속 이물질 방전에 의한 극초단파 신호특성)

  • Yoon, Jin-Yul;Ju, Hyung-Jun;Goo, Sun-Geun;Park, Ki-Jun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.22 no.10
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    • pp.879-883
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    • 2009
  • This paper was provided to help in detecting defects in power transformer. For this purpose, a partial discharge cell was designed and manufactured as a discharge source to simulate particle defected paper-oil insulation in power transformer. Experimental set-up for measuring PD signals was described. 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 pattern of PRPD(Phase Resolved Partial Discharge) of partial discharge signals were examined and analyzed. The results will be contributed to build the defect database of power transformer and to decrease the substation faults.