Title :
High-resolution neural temperature sensor using fiber Bragg gratings
Author :
Tsao, Shyh-Lin ; Wu, Jingshown ; Yeh, Bih-Chyun
Author_Institution :
Dept. of Electr. Eng., Yuan-Ze Inst. of Technol., Chungli, Taiwan
fDate :
11/1/1999 12:00:00 AM
Abstract :
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
Keywords :
Bragg gratings; feedforward neural nets; fibre optic sensors; optical neural nets; optical resolving power; temperature sensors; fast computational ability; fiber Bragg gratings; frequency measurements; high-resolution neural temperature sensor; high-resolution temperature; mapping relation; modular artificial neural network; normalized transmission power spectrum; real time; sensitivity; temperature resolution; Artificial neural networks; Bragg gratings; Fiber gratings; Filters; Fuzzy neural networks; Neural networks; Optical fiber sensors; Sensor phenomena and characterization; Temperature sensors; Wavelength measurement;
Journal_Title :
Quantum Electronics, IEEE Journal of
