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Partial discharge recognition using neural networks: a review

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Abstract

Partial discharge (PD) recognition using neural networks is studied. The paper offers a description of the main neural networks used, their recognition rate as well as comments on the variety of PD parameters fed to neural networks. Problems regarding the stochastic nature of PD, the multiple defects and the influence of the voltage level on the recognition rate are discussed. Proposals for future work are made.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Electric Energy Systems Laboratory, Democritus University of Thrace, 67100, Xanthi, Greece

    M. G. Danikas

  2. High Voltage Institute, Helsinki University of Technology, PO Box 3000, 02015, Hut, Finland

    N. Gao & M. Aro

Authors
  1. M. G. Danikas
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  2. N. Gao
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  3. M. Aro
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Correspondence to M. G. Danikas.

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Danikas, M.G., Gao, N. & Aro, M. Partial discharge recognition using neural networks: a review. Electr Eng 85, 87–93 (2003). https://doi.org/10.1007/s00202-002-0151-5

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