Abstract
We propose the optical laser frequency neural sensing scheme and two-temperature neural sensing scheme to measure the optical laser frequency and two temperatures of the heat reservoirs. The optical laser frequency and two-temperature requirement conditions are imposed by one-to-one functional map between normalized transmission spectrum and optical laser frequency as well as one-to-two functional map between normalized transmission spectrum and two temperatures. The proposed schemes using the optical laser frequency neural sensing scheme and two-temperature neural sensing scheme learn the mapping relationships for both optical laser frequency and two temperatures with their corresponding normalized transmission spectra. The experimental results show that the optical laser frequency neural sensing scheme and two-temperature neural sensing scheme to measure the optical laser frequency and two temperatures to get the root-mean-square errors of 5.9 MHz, 0.009 °C, and 0.008 C°, respectively.
Original language | English |
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Pages (from-to) | 8468-8476 |
Number of pages | 9 |
Journal | IEEE Sensors Journal |
Volume | 16 |
Issue number | 23 |
DOIs | |
State | Published - 01 12 2016 |
Bibliographical note
Publisher Copyright:© 2001-2012 IEEE.
Keywords
- Feed-forward neural networks
- back-propagation learning algorithm
- fiber Bragg gratings
- frequency sensor
- temperature sensor