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

Strachan, Scott and McArthur, S.D.J. and Judd, M.D. and McDonald, J.R. (2005) Incremental knowledge-based partial discharge diagnosis in oil-filled power transformers. In: 13th International Conference on Intelligent Systems Application to Power System (ISAP), 2005-11-06 - 2005-11-10, Arlington, USA.

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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

Item type: Conference or Workshop Item (Paper)
ID code: 38006
Keywords: incremental knowledge, partial discharge, diagnosis, oil-filled, power transformers, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 29 Feb 2012 14:45
    Last modified: 17 Jul 2013 15:33
    URI: http://strathprints.strath.ac.uk/id/eprint/38006

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