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The random error model for evaluating FBG dynamic sensing system is proposed and established by using Allan variance, and the error recognition is experimentally demonstrated. The composition of the FBG sensing system, the characteristic of random error and error source for FBG acceleration sensing system are analyzed. The random error theoretical model based on the FBG acceleration sensing system is proposed and analyzed. In order to experimentally perform stability characterization of the system, the static output signal is achieved, and Allan variance curve is obtained by data processing, and the main coefficients of the error source can be further obtained. The model based on the Allan variance adequately demonstrates that it is feasible to evaluate the FBG system, which provides the basis for further designing, improvements and developing.
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