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

Colak I., Kosalay I., Inan A.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.66, sa.10, ss.819-827, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 10
  • Basım Tarihi: 2007
  • Dergi Adı: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.819-827
  • Anahtar Kelimeler: ANN, magnetic field, transformer substation, visualization, BURIED SHORT CONDUCTORS, MANAGEMENT, INTERFERENCE, PERCEPTRONS, OVERHEAD, DESIGN, MODEL
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.