Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • Institut Teknologi Bandung (ITB)
  • K.N. Toosi University of Technology (KNTU)
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Details

Original languageEnglish
Title of host publication2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-16
Number of pages4
ISBN (electronic)9788986510225
ISBN (print)979-8-3503-5387-7
Publication statusPublished - 20 Oct 2024
Event10th International Conference on Condition Monitoring and Diagnosis, CMD 2024 - Gangneung, Korea, Republic of
Duration: 20 Oct 202424 Oct 2024

Publication series

NameInternational Conference on Condition Monitoring and Diagnosis
ISSN (Print)2374-0167
ISSN (electronic)2644-271X

Abstract

Advanced monitoring systems that combine PD detection with other methods, such as oil monitoring, increase reliability and provide operators with more accurate health assessments. This article studies the electromagnetic (EM) waves emitted from partial discharges in the ultra-high frequency (UHF) range using a special UHF sensor for integration purposes. Given the complex structure of power transformers, diagnosing partial discharges using UHF methods presents several challenges. This study addresses the impact of the transformer tank and other parameters on the impedance matching, and radiation pattern, aiming to enhance the sensitivity of the studied UHF PD sensor. A practical method for selecting the optimal frequency range for PD detection is proposed to improve the effectiveness of the UHF method and enhance the signal-to-noise ratio using frequency spectrum analysis. The results were validated by correlating the phase-resolved partial discharge (PRPD) patterns obtained through the IEC 60270 method with those from both a commercial sensor and the UHF PD sensor studied in this article. This validation confirms the effectiveness of the proposed approach in improving PD detection in power transformers.

Keywords

    Partial discharge detection, Power transformer diagnostics, Signal-to-noise ratio enhancement, UHF PD measurement, UHF PD PRPD pattern

ASJC Scopus subject areas

Cite this

Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems. / Balali, Behnam; Kuhnke, Moritz; Zidny, Irfan et al.
2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 13-16 (International Conference on Condition Monitoring and Diagnosis).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Balali, B, Kuhnke, M, Zidny, I, Werle, P & Akbari, A 2024, Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems. in 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024. International Conference on Condition Monitoring and Diagnosis, Institute of Electrical and Electronics Engineers Inc., pp. 13-16, 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024, Gangneung, Korea, Republic of, 20 Oct 2024. https://doi.org/10.23919/CMD62064.2024.10766301
Balali, B., Kuhnke, M., Zidny, I., Werle, P., & Akbari, A. (2024). Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems. In 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024 (pp. 13-16). (International Conference on Condition Monitoring and Diagnosis). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/CMD62064.2024.10766301
Balali B, Kuhnke M, Zidny I, Werle P, Akbari A. Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems. In 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 13-16. (International Conference on Condition Monitoring and Diagnosis). doi: 10.23919/CMD62064.2024.10766301
Balali, Behnam ; Kuhnke, Moritz ; Zidny, Irfan et al. / Improving Sensitivity and Detection Frequency of Special UHF Partial Discharge Sensors for Power Transformer Monitoring Systems. 2024 10th International Conference on Condition Monitoring and Diagnosis, CMD 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 13-16 (International Conference on Condition Monitoring and Diagnosis).
Download
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abstract = "Advanced monitoring systems that combine PD detection with other methods, such as oil monitoring, increase reliability and provide operators with more accurate health assessments. This article studies the electromagnetic (EM) waves emitted from partial discharges in the ultra-high frequency (UHF) range using a special UHF sensor for integration purposes. Given the complex structure of power transformers, diagnosing partial discharges using UHF methods presents several challenges. This study addresses the impact of the transformer tank and other parameters on the impedance matching, and radiation pattern, aiming to enhance the sensitivity of the studied UHF PD sensor. A practical method for selecting the optimal frequency range for PD detection is proposed to improve the effectiveness of the UHF method and enhance the signal-to-noise ratio using frequency spectrum analysis. The results were validated by correlating the phase-resolved partial discharge (PRPD) patterns obtained through the IEC 60270 method with those from both a commercial sensor and the UHF PD sensor studied in this article. This validation confirms the effectiveness of the proposed approach in improving PD detection in power transformers.",
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AU - Balali, Behnam

AU - Kuhnke, Moritz

AU - Zidny, Irfan

AU - Werle, Peter

AU - Akbari, Asghar

N1 - Publisher Copyright: © 2024 The Korean Institute of Electrical Engineers (KIEE).

PY - 2024/10/20

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AB - Advanced monitoring systems that combine PD detection with other methods, such as oil monitoring, increase reliability and provide operators with more accurate health assessments. This article studies the electromagnetic (EM) waves emitted from partial discharges in the ultra-high frequency (UHF) range using a special UHF sensor for integration purposes. Given the complex structure of power transformers, diagnosing partial discharges using UHF methods presents several challenges. This study addresses the impact of the transformer tank and other parameters on the impedance matching, and radiation pattern, aiming to enhance the sensitivity of the studied UHF PD sensor. A practical method for selecting the optimal frequency range for PD detection is proposed to improve the effectiveness of the UHF method and enhance the signal-to-noise ratio using frequency spectrum analysis. The results were validated by correlating the phase-resolved partial discharge (PRPD) patterns obtained through the IEC 60270 method with those from both a commercial sensor and the UHF PD sensor studied in this article. This validation confirms the effectiveness of the proposed approach in improving PD detection in power transformers.

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