Use of Artificial Neural Networks for improving fiber optic microbend sensor performance

Efendioglu H., Yildirim T., Fidanboylu K.

2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, İspanya, 18 - 23 Temmuz 2010 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/ijcnn.2010.5596462
  • Basıldığı Şehir: Barcelona
  • Basıldığı Ülke: İspanya
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

This paper presents experimental results related with the behavior of fiber optic microbend sensors based on different configurations. Different types of deformer sets having different mechanical periodicities, corrugation size and number of deformations cycles have been used to test the validity of the proposed technique. Normalized output intensity of the microbend sensor as a function of applied force is later used in the prediction of desired sensor response using Artificial Neural Networks (ANNs). It is shown that, ANNs can detect measurement errors and can be used in the development of intelligent and robust sensors that can monitor and detect the abnormalities in the sensors state. © 2010 IEEE.