Accuracy improvement of fiber bragg grating peak wavelength demodulation using wavelet transform and various center wavelength detection algorithms
Artykuł w czasopiśmie
MNiSW
14
Lista B
| Status: | |
| Autorzy: | Harasim Damian, Kashaganova Gulzhan, Kussambayewa Nazym |
| Rok wydania: | 2016 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 6 |
| Wolumen/Tom: | 92 |
| Strony: | 86 - 89 |
| Bazy: | BazTech |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Abstrakty: | angielski |
| The main feature of Fiber Bragg Gratings is that they perform a direct transformation of measured parameter into a shift in the center Bragg wavelength. This paper presents a possibility for extraction FBGs peak wavelength from spectra with high influence of noise by using wavelet transform. Spectra of tested FBG were measured in 20 points with different extending force applied to tested sample. Wavelet transform and various methods of center Bragg wavelength detection are jointly applied to improve wavelength detection accuracy. Experiment results shows that application of appropriate digital signal processing algorithms for denoising FBG spectra could greatly improve accuracy and linearity of fiber sensor processing characteristics. |
