Incremental knowledge-based partial discharge diagnosis in oil-filled power transformers

Scott Strachan, S.D.J. McArthur, M.D. Judd, J.R. McDonald

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

The abstraction of meaningful diagnostic information from raw condition monitoring data in domains where diagnostic expertise and knowledge is limited presents a significant research challenge. This paper proposes a means of abstracting the salient features required to characterize partial discharge (PD) activity detected in oil-filled power transformers. This enables ultra high frequency (UHF) sensor data to be interpreted and translated into a meaningful diagnostic explanation of the observed PD activity. Plant data captured from UHF sensors forms the inputs to a knowledge-based data interpretation system, supporting on-line plant condition assessment and insulation defect diagnosis. The paper describes the functionality of a knowledge-based decision support system, providing engineers with a comprehensive diagnostic explanation of partial discharge activity detected in oil-filled power transformers. The diagnostic output can then be used to advise the engineer in (and potentially automate) the classification and location of partial discharge defect sources

Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - Nov 2005
Event13th International Conference on Intelligent Systems Application to Power System (ISAP) - Arlington, USA
Duration: 6 Nov 200510 Nov 2005

Conference

Conference13th International Conference on Intelligent Systems Application to Power System (ISAP)
CityArlington, USA
Period6/11/0510/11/05

Keywords

  • incremental knowledge
  • partial discharge
  • diagnosis
  • oil-filled
  • power transformers

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  • Cite this

    Strachan, S., McArthur, S. D. J., Judd, M. D., & McDonald, J. R. (2005). Incremental knowledge-based partial discharge diagnosis in oil-filled power transformers. Paper presented at 13th International Conference on Intelligent Systems Application to Power System (ISAP), Arlington, USA, . https://doi.org/10.1109/ISAP.2005.1599259