Two-Temperature Neural Sensing Scheme

Bih Chyun Yeh*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

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 languageEnglish
Pages (from-to)8468-8476
Number of pages9
JournalIEEE Sensors Journal
Volume16
Issue number23
DOIs
StatePublished - 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

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