Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Mohammad Akbari Azirani
  • Mohamadreza Ariannik
  • Peter Werle
  • Asghar Akbari

Externe Organisationen

  • York University
  • K.N. Toosi University of Technology
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Details

OriginalspracheEnglisch
Aufsatznummer108895
FachzeitschriftMeasurement: Journal of the International Measurement Confederation
Jahrgang172
Frühes Online-Datum28 Dez. 2020
PublikationsstatusVeröffentlicht - Feb. 2021

Abstract

Electromagnetic (EM) wave propagation in the ultrahigh frequency (UHF) range, generated by partial discharges (PD) is widely employed for monitoring and diagnostic purposes in the field of gas-insulated substations for over a decade. For power transformers, this is a far more demanding challenge due to their complex inner structure. In this contribution, the application of the UHF measurement technique in power transformers is studied. Various influencing parameters on this special use case of sensors for PD measurements are discussed from an EM standpoint. Consequently, a practical approach towards determining an appropriate center frequency and bandwidth for performing UHF measurements depending on the test object is proposed and validated using practical measurements.

ASJC Scopus Sachgebiete

Zitieren

Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique. / Azirani, Mohammad Akbari; Ariannik, Mohamadreza; Werle, Peter et al.
in: Measurement: Journal of the International Measurement Confederation, Jahrgang 172, 108895, 02.2021.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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T1 - Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique

AU - Azirani, Mohammad Akbari

AU - Ariannik, Mohamadreza

AU - Werle, Peter

AU - Akbari, Asghar

N1 - Funding Information: The authors would like to express their gratitude towards the ABB Ltd, Switzerland for the support of this research.

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KW - PD detection

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KW - Phase resolved partial discharge pattern

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KW - UHF PRPD pattern

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