Simultaneous measurement of temperature and strain: An artificial neural network approach

C. C. Chan; Wei Jin; A. B. Rad; M. S. Demokan

doi:10.1109/68.681508

Simultaneous measurement of temperature and strain: An artificial neural network approach

C. C. Chan, Wei Jin, A. B. Rad, M. S. Demokan

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

15 Citations (Scopus)

Abstract

In this letter, we report the use of an artificial neural network approach for simultaneous recovery of information about strain and temperature from fiber optic sensors. Simulation results show that, for a particular sensor with large cross-sensitivity, temperature and strain measurement accuracy can be increased by 12 and 3 times, respectively, when compared with the matrix inversion method.

Original language	English
Pages (from-to)	854-856
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	10
Issue number	6
DOIs	https://doi.org/10.1109/68.681508
Publication status	Published - 1 Jun 1998

Keywords

Fiber optics
Neural networks
Strain measurement
Temperature measurement

ASJC Scopus subject areas

Electrical and Electronic Engineering
Atomic and Molecular Physics, and Optics
Physics and Astronomy (miscellaneous)

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10.1109/68.681508

Cite this

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Simultaneous measurement of temperature and strain: An artificial neural network approach

Abstract

Keywords

ASJC Scopus subject areas

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