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Experimental Validation for Moving Particle Detection Using Acoustic Emission Method

Author

Listed:
  • Sung-Wook Kim

    (Division of Smart Electrical & Electronic Engineering, Silla University, Busan 46958, Korea)

  • Nam-Hoon Kim

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

  • Dong-Eon Kim

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

  • Tae-Han Kim

    (High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea)

  • Dong-Hoon Jeong

    (High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea)

  • Young-Hwan Chung

    (High Voltage Insulation Research Team, Power & Industrial Systems R&D Center, Hyosung Corporation, Changwon 51529, Korea)

  • Gyung-Suk Kil

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

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.

Suggested Citation

  • Sung-Wook Kim & Nam-Hoon Kim & Dong-Eon Kim & Tae-Han Kim & Dong-Hoon Jeong & Young-Hwan Chung & Gyung-Suk Kil, 2021. "Experimental Validation for Moving Particle Detection Using Acoustic Emission Method," Energies, MDPI, vol. 14(24), pages 1-12, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8516-:d:704677
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    References listed on IDEAS

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    1. Abderrahmane Beroual & Abderrahmane (Manu) Haddad, 2017. "Recent Advances in the Quest for a New Insulation Gas with a Low Impact on the Environment to Replace Sulfur Hexafluoride (SF 6 ) Gas in High-Voltage Power Network Applications," Energies, MDPI, vol. 10(8), pages 1-20, August.
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    Cited by:

    1. Goang-Chul Shin & Sung-Wook Kim & Gyung-Suk Kil, 2022. "Comparison between the PD Characteristics of g 3 and Dry Air for Gas-Insulated Switchgears," Energies, MDPI, vol. 15(19), pages 1-12, September.

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