Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems

Xiaosheng Peng, Donald Hepburn, Chengke Zhou

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

Abstract

Autonomous partial discharge (PD) identification is not only key to the success of, but also one of the major challenges in, PD based condition monitoring of cable systems. In industrial applications, two challenges restrict the implementation of autonomous PD identification. The first challenge is that interference signals are of different shapes and the frequency bandwidths of some interference signals are similar to that of PD signals. The second challenge is that, as PD signals originate from different sources, their characteristics also vary.
Original languageEnglish
Title of host publication22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013)
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)9781849197328
DOIs
Publication statusPublished - Jun 2013

Fingerprint

Partial discharges
Condition monitoring
Signal interference
Cables
Industrial applications
Bandwidth

Keywords

  • partial discharge activity
  • condition monitoring
  • electrical systems

Cite this

Peng, X., Hepburn, D., & Zhou, C. (2013). Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems. In 22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013) (pp. 1-4). IEEE. https://doi.org/10.1049/cp.2013.0711
Peng, Xiaosheng ; Hepburn, Donald ; Zhou, Chengke. / Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems. 22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013). IEEE, 2013. pp. 1-4
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abstract = "Autonomous partial discharge (PD) identification is not only key to the success of, but also one of the major challenges in, PD based condition monitoring of cable systems. In industrial applications, two challenges restrict the implementation of autonomous PD identification. The first challenge is that interference signals are of different shapes and the frequency bandwidths of some interference signals are similar to that of PD signals. The second challenge is that, as PD signals originate from different sources, their characteristics also vary.",
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Peng, X, Hepburn, D & Zhou, C 2013, Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems. in 22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013). IEEE, pp. 1-4. https://doi.org/10.1049/cp.2013.0711

Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems. / Peng, Xiaosheng; Hepburn, Donald; Zhou, Chengke.

22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013). IEEE, 2013. p. 1-4.

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

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Peng X, Hepburn D, Zhou C. Knowledge based interference signal rejection and partial discharge identification from multi-PD sources for condition monitoring of cable systems. In 22nd International Conference and Exhibition on Electrical Distribution (CIRED 2013). IEEE. 2013. p. 1-4 https://doi.org/10.1049/cp.2013.0711