Cc. Chan et al., SIMULTANEOUS MEASUREMENT OF TEMPERATURE AND STRAIN - AN ARTIFICIAL NEURAL-NETWORK APPROACH, IEEE photonics technology letters, 10(6), 1998, pp. 854-856
In this letter, we report the use of an artificial neural network appr
oach for simultaneous recovery of information about strain and tempera
ture from fiber optic sensors. Simulation results show that, for a par
ticular sensor with large cross-sensitivity, temperature and strain me
asurement accuracy can be increased by 12 and 3 times, respectively, w
hen compared with the matrix inversion method.