摘要
提出了采用BP神经网络算法来实现FBG应变传感器的温度补偿系统,用以改善FBG应变传感器的温度交叉敏感现象。通过计算机程序和实验表明,此方法实现了FBG应变传感器对应变量和温度量的精确分离,较好地改善了温度对传感器造成的非线性干扰,使传感器对应变的测量误差达到10-3数量级。同时,有效地抑制了FBG应变传感器非线性特性的影响。
In order to improve temperature cross-sensitivity phenomenon of the Fiber Bragg Grating strain sensor, the BP neural network method is adopted to realize temperature compensation system of the FBG strain sensor .The results of computer program and experiment illustrate that the method can separate the strain and the temperature exactly in the FBG strain sensor ,solve nonlinear influence problem of the FBG strain sensor brought by temperature well and the measuring error for the strain is about 10-3.The method also restrains the influence of nonlinear effectively in the FBG strain sensor.
出处
《光通信技术》
CSCD
北大核心
2012年第6期7-9,共3页
Optical Communication Technology
