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An Efficient PC-Based Environment for the Improvement of Magnetic Cores Industrial Process

  • P. S. Georgilakis
  • N. D. Hatziargyriou
  • N. D. Doulamis
  • A. D. Doulamis
  • J. A. Bakopoulos
Conference paper
Part of the Advanced Manufacturing book series (ADVMANUF)

Abstract

Distribution transformer losses constitute a significant amount of the total losses in distribution networks. In Greece, for example, it is estimated that transformer iron losses are about 10% of the total distribution network losses [1]. In an industrial environment, dealing with construction of wound core distribution transformers, prediction of iron losses of individual cores is a crucial task, since the latter significantly affect both the quality and the performance of the finally produced three phase transformers. However, there is no simple analytical relationship for estimating iron losses of individual cores, due to the fact that many parameters, both qualitative and quantitative, are involved in the process.

Keywords

Neural Network Architecture Load Forecast Iron Loss Individual Core Absolute Relative Error 
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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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • P. S. Georgilakis
  • N. D. Hatziargyriou
  • N. D. Doulamis
  • A. D. Doulamis
  • J. A. Bakopoulos

There are no affiliations available

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