High-resolution neural temperature sensor using fiber Bragg gratings

We demonstrate a novel high-resolution neural temperature sensor using two fiber Bragg gratings (FBG's) and a modular artificial neural network which is used to learn the mapping relation among frequency, temperature, and the normalized transmission power spectrum. Because of the fast computational ability of the modular artificial neural network and the sensitivity of FBG's, the sensor can make high-resolution temperature and frequency measurements in real time. The experimental results show that the temperature resolution of this sensor can reach 0.005°C.