Experimental Validation for Moving Particle Detection Using Acoustic Emission Method

Gas-insulated switchgears (GISs) are important pieces of power equipment used to improve the reliability of power facilities. As the number of GISs increases, more insulation failures occur every year. The most common cause of insulation failure is particles and foreign bodies producing a partial di...

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Main Authors: Sung-Wook Kim, Nam-Hoon Kim, Dong-Eon Kim, Tae-Han Kim, Dong-Hoon Jeong, Young-Hwan Chung, Gyung-Suk Kil
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/24/8516
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author Sung-Wook Kim
Nam-Hoon Kim
Dong-Eon Kim
Tae-Han Kim
Dong-Hoon Jeong
Young-Hwan Chung
Gyung-Suk Kil
author_facet Sung-Wook Kim
Nam-Hoon Kim
Dong-Eon Kim
Tae-Han Kim
Dong-Hoon Jeong
Young-Hwan Chung
Gyung-Suk Kil
author_sort Sung-Wook Kim
collection DOAJ
description Gas-insulated switchgears (GISs) are important pieces of power equipment used to improve the reliability of power facilities. As the number of GISs increases, more insulation failures occur every year. The most common cause of insulation failure is particles and foreign bodies producing a partial discharge (PD), which causes deterioration of the insulation materials and results in insulation breakdown. However, it is not easy to detect them by conventional PD and ultra-high frequency (UHF) PD measurements because it is difficult to apply the conventional method to the GISs in service, and the UHF method is not always applicable to GISs. Therefore, an appropriate method to detect particles and foreign bodies in GISs is needed. In this study, experimental validation was performed to detect particles moving in GISs using the acoustic emission (AE) method. Acoustic wave signals were produced by the particles moving on the surface of a flat plate when applying voltage. An AE sensor with a frequency range of 50 to 400 kHz was used, and a decoupler and low-noise amplifier were designed to detect the acoustic wave signals with high sensitivity. Twelve types of particles were used, and one was selected to confirm the detectable minimum output voltage. In an actual factory test, the output voltage of the acoustic wave signals was analyzed while considering the applied voltage and signal attenuation. Consequently, it was confirmed that the AE measuring system proposed in this paper could detect particles moving inside GISs.
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spelling doaj.art-582bc78f5a5f47f8b567c016a8d709d82023-11-23T08:08:21ZengMDPI AGEnergies1996-10732021-12-011424851610.3390/en14248516Experimental Validation for Moving Particle Detection Using Acoustic Emission MethodSung-Wook Kim0Nam-Hoon Kim1Dong-Eon Kim2Tae-Han Kim3Dong-Hoon Jeong4Young-Hwan Chung5Gyung-Suk Kil6Division of Smart Electrical & Electronic Engineering, Silla University, Busan 46958, KoreaDepartment of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaDepartment of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaHigh Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, KoreaHigh Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, KoreaHigh Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, KoreaDepartment of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaGas-insulated switchgears (GISs) are important pieces of power equipment used to improve the reliability of power facilities. As the number of GISs increases, more insulation failures occur every year. The most common cause of insulation failure is particles and foreign bodies producing a partial discharge (PD), which causes deterioration of the insulation materials and results in insulation breakdown. However, it is not easy to detect them by conventional PD and ultra-high frequency (UHF) PD measurements because it is difficult to apply the conventional method to the GISs in service, and the UHF method is not always applicable to GISs. Therefore, an appropriate method to detect particles and foreign bodies in GISs is needed. In this study, experimental validation was performed to detect particles moving in GISs using the acoustic emission (AE) method. Acoustic wave signals were produced by the particles moving on the surface of a flat plate when applying voltage. An AE sensor with a frequency range of 50 to 400 kHz was used, and a decoupler and low-noise amplifier were designed to detect the acoustic wave signals with high sensitivity. Twelve types of particles were used, and one was selected to confirm the detectable minimum output voltage. In an actual factory test, the output voltage of the acoustic wave signals was analyzed while considering the applied voltage and signal attenuation. Consequently, it was confirmed that the AE measuring system proposed in this paper could detect particles moving inside GISs.https://www.mdpi.com/1996-1073/14/24/8516gas insulated switchgearsmoving particlesacoustic emission method
spellingShingle Sung-Wook Kim
Nam-Hoon Kim
Dong-Eon Kim
Tae-Han Kim
Dong-Hoon Jeong
Young-Hwan Chung
Gyung-Suk Kil
Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
Energies
gas insulated switchgears
moving particles
acoustic emission method
title Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
title_full Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
title_fullStr Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
title_full_unstemmed Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
title_short Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
title_sort experimental validation for moving particle detection using acoustic emission method
topic gas insulated switchgears
moving particles
acoustic emission method
url https://www.mdpi.com/1996-1073/14/24/8516
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