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Proceedings Paper

Cognitive fiber Bragg grating sensors system based on fiber Fabry-Perot tunable filter technology
Author(s): Hongtao Zhang; Pengfei Wang; Jilin Zou; Jing Xie; Hong-Liang Cui
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Paper Abstract

The wavelength demodulation based on a Fiber Fabry-Pérot Tunable Filter (FFP-TF) is a common method for multiplexing Fiber Bragg Grating (FBG) sensors. But this method cannot be used to detect high frequency signals due to the limitation by the highest scanning rate that the FFP-TF can achieve. To overcome this disadvantage, in this paper we present a scheme of cognitive sensors network based on FFP-TF technology. By perceiving the sensing environment, system can automatically switch into monitoring signals in two modes to obtain better measurement results: multi measurement points, low frequency (<1 KHz) signal, and few measurement points but high frequency (~50 KHz) signals. This cognitive sensors network can be realized in current technology and satisfy current most industrial requirements.

Paper Details

Date Published: 18 May 2011
PDF: 4 pages
Proc. SPIE 7753, 21st International Conference on Optical Fiber Sensors, 775388 (18 May 2011); doi: 10.1117/12.886075
Show Author Affiliations
Hongtao Zhang, L.C. Pegasus Corp. (United States)
Pengfei Wang, Polytechnic Institute of NYU (United States)
Jilin Zou, L.C. Pegasus Corp. (United States)
Jing Xie, L.C. Pegasus Corp. (United States)
Hong-Liang Cui, Polytechnic Institute of NYU (United States)


Published in SPIE Proceedings Vol. 7753:
21st International Conference on Optical Fiber Sensors
Jacques Albert; Wojtek J. Bock, Editor(s)

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