LAPSE:2023.17043
Published Article

LAPSE:2023.17043
Experimental Validation for Moving Particle Detection Using Acoustic Emission Method
March 6, 2023
Abstract
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.
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.
Record ID
Keywords
acoustic emission method, gas insulated switchgears, moving particles
Subject
Suggested Citation
Kim SW, Kim NH, Kim DE, Kim TH, Jeong DH, Chung YH, Kil GS. Experimental Validation for Moving Particle Detection Using Acoustic Emission Method. (2023). LAPSE:2023.17043
Author Affiliations
Kim SW: Division of Smart Electrical & Electronic Engineering, Silla University, Busan 46958, Korea
Kim NH: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Kim DE: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Kim TH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Jeong DH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Chung YH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Kil GS: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea [ORCID]
Kim NH: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Kim DE: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea
Kim TH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Jeong DH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Chung YH: High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea
Kil GS: Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea [ORCID]
Journal Name
Energies
Volume
14
Issue
24
First Page
8516
Year
2021
Publication Date
2021-12-17
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14248516, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.17043
This Record
External Link

https://doi.org/10.3390/en14248516
Publisher Version
Download
Meta
Record Statistics
Record Views
180
Version History
[v1] (Original Submission)
Mar 6, 2023
Verified by curator on
Mar 6, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.17043
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.26 seconds)
