DocumentCode
2458154
Title
Gaussian process applied in temperature compensation for FBG strain sensing
Author
Wen, Xiaoyan ; Qian, Yu
Author_Institution
Nat. Eng. Lab. of Opt. Fiber Sensor Technol., Wuhan Univ. of Technol., Wuhan, China
fYear
2011
fDate
24-26 June 2011
Firstpage
4075
Lastpage
4078
Abstract
This paper presents a novel approach using Gaussian Process (GP) for temperature compensation of fiber Bragg grating (FBG) strain sensing. Firstly the basic theory of GP regress is demonstrated. Then the training samples are employed to train Gaussian Process, and the testing samples are applied to detect the predict ability of the method. Error analysis shows that Gaussian Process is effective in restraining the temperature disturbance to strain sensing of FBG.
Keywords
Bragg gratings; fibre optic sensors; strain sensors; FBG strain sensing; Gaussian process; error analysis; temperature compensation; temperature disturbance; Artificial neural networks; Fiber gratings; Gaussian processes; Strain; Temperature sensors; Gaussian Process; fiber Bragg grating; strain sensing; temperature compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965215
Filename
5965215
Link To Document