Estimation of magnetic field distributions in substation centers using artificial neural networks

Colak I., Kosalay I., Inan A.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, vol.66, no.10, pp.819-827, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 66 Issue: 10
  • Publication Date: 2007
  • Journal Name: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.819-827
  • Keywords: ANN, magnetic field, transformer substation, visualization, BURIED SHORT CONDUCTORS, MANAGEMENT, INTERFERENCE, PERCEPTRONS, OVERHEAD, DESIGN, MODEL
  • Yıldız Technical University Affiliated: Yes

Abstract

Magnetic fields at different operation conditions, in and out of the measurement points, were estimated and visualized by the developed visual software, which has 3D screening unit, based on artificial neural networks and grid data. Software enables users to estimate electromagnetic field distributions in and out of the measurement points.