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Advanced Diagnostic Approach for High-Voltage Insulators: Analyzing Partial Discharges through Zero-Crossing Rate and Fundamental Frequency Estimation of Acoustic Raw Data

Author

Listed:
  • Kaynan Maresch

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Luiz F. Freitas-Gutierres

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Aécio L. Oliveira

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Aquiles S. Borin

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Ghendy Cardoso

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Juliano S. Damiani

    (Laboratory for Analysis and Protection of Electrical Systems, Technology Center, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • André M. Morais

    (High and Extra High Voltage Laboratory, Institute of Technology, Federal University of Pará, Pará 66075-110, PA, Brazil)

  • Cristian H. Correa

    (Engineering Board, CPFL Transmission, Porto Alegre 90230-181, RS, Brazil)

  • Erick F. Martins

    (Engineering Board, CPFL Transmission, Porto Alegre 90230-181, RS, Brazil)

Abstract

Acoustic inspection is a valuable technique that can detect early stage defects in equipment, thereby facilitating predictive maintenance. In recent times, ultrasonic sensors have made detecting partial discharges through acoustic sensing increasingly feasible. However, interpreting the acoustic signals can pose challenges, as it requires extensive expertise and knowledge of equipment configuration. To address this issue, a technique based on zero-crossing rate and fundamental frequency estimation has been proposed to standardize insulator diagnosis. In an experiment involving a database of 72 raw acoustic signals with frequencies ranging from 0 to 128 kHz, various types of pollution and defects were introduced to a chain of insulators. By employing the proposed technique, the occurrence of partial discharges can be detected and classified according to type, such as corona or surface discharges. This advanced approach to diagnosis simplifies the process while providing valuable insights into the severity of observed phenomena in the field.

Suggested Citation

  • Kaynan Maresch & Luiz F. Freitas-Gutierres & Aécio L. Oliveira & Aquiles S. Borin & Ghendy Cardoso & Juliano S. Damiani & André M. Morais & Cristian H. Correa & Erick F. Martins, 2023. "Advanced Diagnostic Approach for High-Voltage Insulators: Analyzing Partial Discharges through Zero-Crossing Rate and Fundamental Frequency Estimation of Acoustic Raw Data," Energies, MDPI, vol. 16(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6033-:d:1219268
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    References listed on IDEAS

    as
    1. Al-geelani, Nasir A. & M. Piah, M. Afendi & Bashir, Nouruddeen, 2015. "A review on hybrid wavelet regrouping particle swarm optimization neural networks for characterization of partial discharge acoustic signals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 20-35.
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