Representation of the characteristics of piezoelectric fiber composites with neural networks
Küçük Resim Yok
Tarih
2007
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AMER INST PHYSICS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
33rd Annual Review of Progress in Quantitative Nondestructive Evaluation -- JUL 30-AUG 04, 2006 -- Portland, OR
Anahtar Kelimeler
piezoelectricity and electromechanical effects, neural networks
Kaynak
Review of Progress in Quantitative Nondestructive Evaluation, Vols 26A and 26B
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
894
