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ICANN 98 pp 701-706 | Cite as

Automated Statistical Recognition of Partial Discharges in Insulation Systems

  • Massih-Reza Amini
  • Patrick Gallinari
  • Florence d’Alche-Buc
  • François Bonnard
  • Edouard Fernandez
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

We present the development of the successive stages of a statistical system for a classical diagnosis problem in the domain of power systems. It is shown how the different steps may be designed in a sound statistical way in order to develop a complete and efficient diagnosis system which provides the end user with a maximum of information about the system behaviour.

Keywords

Corona Discharge Partial Discharge Classifier Decision Pulse Height Distribution Apparent Charge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag London 1998

Authors and Affiliations

  • Massih-Reza Amini
    • 1
  • Patrick Gallinari
    • 1
  • Florence d’Alche-Buc
    • 1
  • François Bonnard
    • 2
  • Edouard Fernandez
    • 2
  1. 1.LIP6Université Paris 6Paris cedex 5France
  2. 2.Schneider Electric, Research Center, A2 plantGrenoble 09France

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