Analysis of shafts surface pressures using neural networks


Kurban A. O.

INDUSTRIAL LUBRICATION AND TRIBOLOGY, cilt.56, sa.4, ss.217-225, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 56 Sayı: 4
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1108/00368790410541561
  • Dergi Adı: INDUSTRIAL LUBRICATION AND TRIBOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.217-225
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents an investigation into the classical problem using an experimental apparatus and applying an artificial neural network (NN) optimisation approach for determining the pressure distribution in a journal bearing at elasto-hydrodynamic state of lubrication. The experimental system is employed at different working speeds with different surface roughness of shafts for getting pressure distribution. A NN is employed to predict the real data of the system as an optimisation technique. The NN is a radial basis function back propagation network. The NN has a superior performance to follow the desired results of the system and is employed to analyse such systems parameters in practical applications.