Partial discharge localization and classification using acoustic emission analysis in power transformer

Ezatollah Mohammadi*, Mehdi Niroomand, Mahdie Rezaeian, Zahra Amini

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

13 Citations (Scopus)

Abstract

Transformers are a major capital item and the cost of a failure is high both in direct costs and downtime. For this reason they are monitored using a variety of methods. Partial discharges in power transformers are often a predecessor of a serious fault for this reason. Partial discharge measurements are an important diagnostic tool to monitor the insulation condition of a transformer. For on-line measurements, a detection method based on the acoustic signals emitted by the discharging source is used and can be detected. Moreover, the acoustic technique offers the possibility to locate and identify the PD source. This paper covers general aspects of acoustic methods for PD detection and localization in time, frequency and time-frequency domain.

Original languageEnglish
Title of host publicationINTELEC 2009 - 31st International Telecommunications Energy Conference
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Print)9781424424900
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event31st International Telecommunications Energy Conference, INTELEC 2009 - Incheon, Korea, Republic of
Duration: 18 Oct 200922 Oct 2009

Other

Other31st International Telecommunications Energy Conference, INTELEC 2009
CountryKorea, Republic of
CityIncheon
Period18/10/0922/10/09

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    Mohammadi, E., Niroomand, M., Rezaeian, M., & Amini, Z. (2009). Partial discharge localization and classification using acoustic emission analysis in power transformer. In INTELEC 2009 - 31st International Telecommunications Energy Conference (pp. 1-6). [5351926] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/INTLEC.2009.5351926