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9 February 2009 Research of double matched fiber optic grating demodulation system
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In this paper, a design of demodulation system applied to Fiber Bragg Grating sensor will be illustrated. This system is based on the principle of Fiber Bragg Grating strain sensing; therefore this applied system has the following characteristics: high sensitivity, high precision, low cost and so on. Demodulation system bases on the traditional matching method, and uses the two matched Fiber Bragg Grating parallel mode. Just because of this, it improves on a certain extent compared with the traditional one. The two Fiber Bragg Gratings are pasted on Hollow Aluminum Cantilever respectively so as to realize the high precision and the large scale strain demodulation. This paper proves the following theory through the academic analyses and experimentation, that is: pasting Fiber Bragg Grating on Hollow Aluminum Cantilever can improve the response sensitivity. During the process of matching, increasing the load on the Hollow Aluminum Cantilever, when the qualities of load cannot beyond the limited quality, there is a good linearity relation between the change of load's quality and the change of wavelength. The limited quality comes from the experimentation. The experimentation proves that the structure of two matched Fiber Bragg Grating parallel can increase the range of strain which can be measured largely, and at the same time this structure can solve double-value problem which exists in the ordinary matching method. The strain sense signal through the two parallel demodulation Fiber Bragg Gratings into data processing circuit. The single chip processes the data from the data processing circuit and works out the strain which is detected by Fiber Bragg Grating sensor.
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Limin Zhao, Yuling Ma, and Meng Wang "Research of double matched fiber optic grating demodulation system", Proc. SPIE 7158, 2008 International Conference on Optical Instruments and Technology: Microelectronic and Optoelectronic Devices and Integration, 71580K (9 February 2009);

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