Research on a Pulse Interference Filter Used for the Fiber Bragg Grating Interrogation System
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In this paper, a novel pulse interference filter for fiber Bragg grating (FBG) interrogation based on the tunable Fabry-Perot (F-P) filtering principle is proposed and experimentally demonstrated. The self-developed FBG interrogation system is devised for the aircraft health management of key structures. Nevertheless, the pulse interference is detected in the reflection spectrum of FBG causing interrogation system unstable. To address the problem, the first-order lag pulse broadening filter is proposed in this paper. The first-order lag filter is applied to preprocess and smooth the original signal, meanwhile enhancing the signal-to-noise ratio (SNR). Afterwards, peaks of reflection spectrum are distinguished with pulse interference by pulse broadening. Experimental results indicate that 634 peaks are detected before adopting the first-order lag pulse broadening filter. Comparatively, the number of peaks decreases to 203 after filtering the interference pulse, and the correct rate of peak detection is higher than 98.5%. Through the comparison with the finite impulse response (FIR) filter, the advantage of first-order lag filter is proved. The vibration monitoring experiment demonstrates that this system has high dynamic precision with a dynamic interrogation range of 0 Hz–400 Hz, and the maximum repetition rate of 800 Hz.
KeywordsFiber Bragg grating tunable F-P filtering principle pulse interference digital filtering
This work was supported by the Technical Foundation Program (Grant Nos. JSZL 2014601 B001, JSZL 2017601 C002) from the Ministry of Industry and Information Technology of China.
- Y. Liu, Y. M. Li, F. Zhou, and Y. Zhong, “Analysis on strain sensing characteristic of long period fibre grating based on deep-grooved process,” Optica Acta International Journal of Optics, 2017, 64(7): 672–680.Google Scholar
- T. Jiang, L. Ren, D. S. Li, X. Cheng, and Z. G. Jia, “Application of FBG strain hoop sensor in pipeline safety monitoring research,” Journal of Optoelectronics·Laser, 2015, 26(8): 1536–1542.Google Scholar
- L. Costas, R. Fernández-Molanes, J. J. Rodríguez-Andina, and J. Farina, “Characterization of FPGA-master ARM communication delays in zynq devices,” in Proceeding of IEEE International Conference on Industrial Technology, Toronto, Canada, 2017, pp. 942–947.Google Scholar
- L. F. Xiao, X. G. Chen, and B. H. Lin, “Design and realization of strain measurement system based on FPGA and ARM,” in Proceeding of IEEE International Conference on Intelligent Control & Information Processing, Beijing, China, 2013, pp. 853–857.Google Scholar
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