Yapici, A.Bickraj, K.Yenilmez, A.Li, M.Tansel, I. N.Martin, S. A.Pereira, C. M.2020-03-262020-03-262007978-0-7354-0399-40094-243Xhttps://hdl.handle.net/20.500.12395/2158833rd Annual Review of Progress in Quantitative Nondestructive Evaluation -- JUL 30-AUG 04, 2006 -- Portland, ORIdeal 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.eninfo:eu-repo/semantics/closedAccesspiezoelectricity and electromechanical effectsneural networksConference Object894918925N/AWOS:000245889000118N/A