Representation of the characteristics of piezoelectric fiber composites with neural networks

Yapici A., Bickraj K., Yenilmez A., Li M., Tansel I. N., Martin S. A., ...More

33rd Annual Review of Progress in Quantitative Nondestructive Evaluation, Oregon, United States Of America, 30 July - 04 August 2006, vol.894, pp.918-925 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 894
  • City: Oregon
  • Country: United States Of America
  • Page Numbers: pp.918-925
  • Istanbul Technical University Affiliated: No


Ideal sensors for the future should be economical, efficient, highly intelligent and capable of obtaining their operation power from the environment. The use of piezoelectric fiber composites coupled with a low power microprocessor and backpropagation type neural networks is proposed for the development of a simple sensor to estimate the characteristics of harmonic forces. Three neural networks were used for the estimation of amplitude, gain and variation of the load in the time domain. The average estimation errors of the neural networks were less than 8% in all of the studied cases.