DocumentCode
2686985
Title
Application of BP neural network in FBG sensing system performance improvement
Author
Zhang Jian ; Zhao Hong ; Rong Xian-wei
Author_Institution
Harbin Normal Univ., Harbin
fYear
2008
fDate
28-31 July 2008
Firstpage
1
Lastpage
4
Abstract
In order to improve measuring precision, a neural network application in non-linear compensation of FBG sensing system, which is based on coarse wavelength division multiplexer (CWDM), was studied in this paper. Simulation results show that a perfect linearization was realized with the system characteristics after neural network compensation.
Keywords
Bragg gratings; calibration; compensation; computerised instrumentation; fibre optic sensors; linearisation techniques; neural nets; wavelength division multiplexing; BP neural network compensation; CWDM; FBG sensing system; calibration system; coarse wavelength division multiplexer; fiber Bragg grating; linearization; nonlinear compensation; Artificial neural networks; Biological neural networks; Bragg gratings; Calibration; Curve fitting; Demodulation; Fiber gratings; Neural networks; Nonlinear dynamical systems; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Packaging Technology & High Density Packaging, 2008. ICEPT-HDP 2008. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-2739-0
Electronic_ISBN
978-1-4244-2740-6
Type
conf
DOI
10.1109/ICEPT.2008.4607031
Filename
4607031
Link To Document