Paper
5 March 2018 Application of based on improved wavelet algorithm in fiber temperature sensor
Hui Qi, Wenjuan Tang
Author Affiliations +
Proceedings Volume 10710, Young Scientists Forum 2017; 107101A (2018) https://doi.org/10.1117/12.2316771
Event: Young Scientists Forum 2017, 2017, Shanghai, China
Abstract
It is crucial point that accurate temperature in distributed optical fiber temperature sensor. In order to solve the problem of temperature measurement error due to weak Raman scattering signal and strong noise in system, a new based on improved wavelet algorithm is presented. On the basis of the traditional modulus maxima wavelet algorithm, signal correlation is considered to improve the ability to capture signals and noise, meanwhile, combined with wavelet decomposition scale adaptive method to eliminate signal loss or noise not filtered due to mismatch scale. Superiority of algorithm filtering is compared with others by Matlab. At last, the 3km distributed optical fiber temperature sensing system is used for verification. Experimental results show that accuracy of temperature generally increased by 0.5233.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Qi and Wenjuan Tang "Application of based on improved wavelet algorithm in fiber temperature sensor", Proc. SPIE 10710, Young Scientists Forum 2017, 107101A (5 March 2018); https://doi.org/10.1117/12.2316771
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KEYWORDS
Wavelets

Temperature metrology

Signal to noise ratio

Optical fibers

Temperature sensors

Fiber optics sensors

Raman scattering

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