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"PRPD"

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"PRPD"

Analysis of Partial Discharge Characteristics in SF6 Gas Insulation
Sun-jae Kim, Guo Ming Wang, Seo-jun Park, Gyung-suk Kil, Chang-hwan An
J Electr Electron Mater 2016;29(7):429-434.   Published online July 1, 2016
This paper deals with the characteristics of partial discharge (PD) for the purpose of a condition based maintenance (CBM) of gas insulated switchgears (GIS) in power equipment. Four types of electrode systems such as a protrusion on enclosure (POE), a particle on spacer (POS), a free particle (FP) and a Floating were designed and fabricated. PD pulses were measured using UHF sensor with a frequency range of 300 MHz∼1.4 GHz and a DAQ with a sampling rate of 250 MS/s. Discharge inception voltage (DIV), discharge extinction voltage (DEV), and phase resolved partial discharge (PRPD) were analyzed depending on electrode systems. The average DIV in the POS was 28.8 kV. It was about 1.7 times higher than that in the FP, which was the lowest value of 17.2 kV. The FP shuffled and jumped at the applied voltage of 23.5 kV. Over 95% of PD pulses in the POE were generated in the negative polarity (181°∼360°) of applied voltage. The results showed the phase (Φ)-magnitude (dBm) of PD pulses by UHF sensor, a cluster was formed separately depending on electrode systems.
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Analysis on PD Pulse Distribution by Defects Depending on SF6 Pressure
Sun Jae Kim, Hyang Eun Jo, Gi Woo Jeong, Gyung Suk Kil, Sung Wook Kim
J Electr Electron Mater 2015;28(1):40-45.   Published online January 1, 2015
Electrode systems: a protrusion on conductor (POC), a protrusion on enclosure (POE), a crack in epoxy plate and a free particle (FP) were fabricated to simulate insulation defects in a gas insulated switchgear (GIS). SF6 gas was filled in the electrode systems by 3 bar and/or 5 bar, respectively. Partial discharge (PD) pulses were detected through a 50 Ω non-inductive resistor. A calibration test was carried out according to IEC 60270, and the sensitivity was 0.25 pC/mV. PD pulses were distributed in the phase of 50˚∼135˚ and over 95% of them existed in the phase of 55˚∼120˚ for the POC. PD pulses were distributed in the phase of 230˚~310˚ and over 90% of them existed in phase of 220˚∼300˚ for the POE. PD pulses occurred in the phase of 40˚∼60˚ and 220˚∼300˚ for the crack, and pulse counts were 25%higher in negative polarity than in positive polarity. PD pulses were distributed in every phase unlike to other three electrode systems and the peak magnitude was measured at 118˚ and 260˚ for the FP. As described above, PD pulses were observed in positive polarity for the POC, in negative one for the POE, in both one for the crack and the FP. In conclusion, it is expected that the identification rate of defect type can be improved by considering the polarity ratio of PD pulses on the PRPDA method.
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Regular Paper : A Study on Pattern Making of Degradation Type Using K-means
Deok Jin Lee
J Electr Electron Mater 2014;27(12):877-882.   Published online December 1, 2014
It has been confirmed that the inner defect of transformer and the perfect diagnosis for aging are closely related to safe electric power transmission system and that the detection of accident and diagnosis technique turn out to be very important issues. Since electric power machinery consists of various kinds of components, however, it is very difficult to make a diagnosis for aging by one parameter. Thus, diagnosis for aging is feasible only through the combination of various parameters. Recently, various expert systems have been developed and applied to diagnosis for aging, but they are not yet reliable enough to apply to the real system. In this paper, XLPE which is ultra high voltage cableinsulator material were chosen to investigate the influence of void on insulator material using partial discharge. Obtained data have been processed by PRPD (phased resolved partial discharge) distribution function and K-means. And statistical and cluster distribution of partial discharge have been analysed and investigated.
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Analysis on Partial Discharge Fault Signals of PRPD for High Voltage Motor Stator Winding
J Electr Electron Mater 2006;19(10):942-946.   Published online October 1, 2006
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Recognition of PD Sources in Air by STFT and Stochastic Parameters
Gang Won Lee, Seong Hui Park, Seong Hwa Kang, Gi Jo Im
J Electr Electron Mater 2004;17(1):101-106.   Published online January 1, 2004
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