Acta Photonica Sinica, Volume. 39, Issue 4, 689(2010)
Reconstruction of Fiber Bragg Grating Strain Sensor Based on Neural Networks
A novel reconstruction method based on RBF neural networks is proposed for restoring the degeneration Fiber Bragg Grating(FBG) strain sensor.According the correlation analysis of bridge′s FBG strain monitoring sites and none-linear approximation of RBF neural networks,the degeneration FBG strain is reconstructed by the regular and the most correlative strain sensor,which assures more accurate and accords with practice.Simulation results verify the effectiveness of the designed method and theoretical discussions.
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HU Shun-ren, CHEN Wei-min. Reconstruction of Fiber Bragg Grating Strain Sensor Based on Neural Networks[J]. Acta Photonica Sinica, 2010, 39(4): 689
Received: Jun. 25, 2009
Accepted: --
Published Online: May. 24, 2010
The Author Email: Shun-ren HU (hsr71@163.com)
CSTR:32186.14.