DocumentCode
1388009
Title
Simultaneous measurement of temperature and strain: an artificial neural network approach
Author
Chan, C.C. ; Jin, W. ; Rad, A.B. ; Demokan, M.S.
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
Volume
10
Issue
6
fYear
1998
fDate
6/1/1998 12:00:00 AM
Firstpage
854
Lastpage
856
Abstract
In this letter, we report the use of an artificial neural network approach for simultaneous recovery of information about strain and temperature from fiber optic sensors. Simulation results show that, for a particular sensor with large cross-sensitivity, temperature and strain measurement accuracy can be increased by 12 and 3 times, respectively, when compared with the matrix inversion method.
Keywords
fibre optic sensors; measurement errors; optical neural nets; sensitivity; strain measurement; temperature measurement; artificial neural network approach; fiber optic sensors; large cross-sensitivity; matrix inversion method; simultaneous measurement; strain measurement; strain measurement accuracy; temperature measurement; Artificial neural networks; Backpropagation; Capacitive sensors; Error correction; Intelligent sensors; Random number generation; Sensor phenomena and characterization; Strain measurement; Temperature measurement; Temperature sensors;
fLanguage
English
Journal_Title
Photonics Technology Letters, IEEE
Publisher
ieee
ISSN
1041-1135
Type
jour
DOI
10.1109/68.681508
Filename
681508
Link To Document