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Simultaneous measurement of temperature and strain: an artificial neural network approach

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4 Author(s)
Chan, C.C. ; Dept. of Electr. Eng., Hong Kong Polytech., Hung Hom, Hong Kong ; Jin, W. ; Rad, A.B. ; Demokan, M.S.

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.

Published in:

Photonics Technology Letters, IEEE  (Volume:10 ,  Issue: 6 )