Design of hetero-core smart fiber optic macrobend sensors


Efendioglu H., Sahin A., YILDIRIM T., Fidanboylu K.

7th International Conference on Electrical and Electronics Engineering, ELECO 2011, Bursa, Turkey, 1 - 04 December 2011 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Bursa
  • Country: Turkey

Abstract

This paper presents a design technique for smart hetero-core fiber optic macrobend displacement sensors using Artificial Neural Networks. Experimental results for several macrobend displacement sensors are used for measuring the ability of Artificial Neural Networks (ANNs) to predict sensor measurand. Multilayer Perceptron algorithm was used as an ANN model. It is shown that all the algorithms are able to predict the displacement values with acceptable errors. Furthermore, a smart sensor architecture composed of multiple macrobend sensors using ANNs is proposed. © 2011 Chamber of Turkish Electric.