Improving the wavelength detection accuracy of FBG sensors using an ADALINE network

C. C. Chan; C. Z. Shi; Wei Jin; D. N. Wang

doi:10.1109/LPT.2003.815360

Improving the wavelength detection accuracy of FBG sensors using an ADALINE network

C. C. Chan, C. Z. Shi, Wei Jin, D. N. Wang

The Hong Kong Polytechnic University

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

27 Citations (Scopus)

Abstract

A study was performed on improving the wavelength detection accuracy of fiber Bragg grating (FBG) sensors. An adaptive linear network was used for enhancing the wavelength detection accuracy in FBG sensors. A wavelength detection accuracy of ∼10 pm was experimentally achieved when the unwanted interferometric signals were presented.

Original language	English
Pages (from-to)	1126-1128
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	15
Issue number	8
DOIs	https://doi.org/10.1109/LPT.2003.815360
Publication status	Published - 1 Aug 2003

Keywords

Fiber Bragg gratings (FBGs)
Fiber optics
Neural networks
Strain 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/LPT.2003.815360

Cite this

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abstract = "A study was performed on improving the wavelength detection accuracy of fiber Bragg grating (FBG) sensors. An adaptive linear network was used for enhancing the wavelength detection accuracy in FBG sensors. A wavelength detection accuracy of ∼10 pm was experimentally achieved when the unwanted interferometric signals were presented.",

keywords = "Fiber Bragg gratings (FBGs), Fiber optics, Neural networks, Strain measurement",

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KW - Strain measurement

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Improving the wavelength detection accuracy of FBG sensors using an ADALINE network

Abstract

Keywords

ASJC Scopus subject areas

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