Radial-basis function network for the approximation of FBG sensor spectra with distorted peaks
Radial-basis function network for the approximation of FBG sensor spectra with distorted peaks
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DOI：
10.1088/0957-0233/17/5/s17
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发表时间：
2006-05-01
影响因子：
2.4
通讯作者：
Kalinowski, H. J.
中科院分区：
文献类型：
--
作者：
Paterno, A. S.;Silva, J. C. C.;Kalinowski, H. J.
报道了用径向基函数网络逼近光纤布拉格光栅传感器反射信号频谱的方法。该算法有助于用光谱分析仪对采集的数据进行解释。使用均匀光纤Bragg光栅传感器的双峰频谱的结果表明，通常的做法是用不同的内插方法对频谱进行拟合并找到其峰值，或者直接找到原始频谱的最大强度位置，与使用所提出的神经网络搜索近似频谱的峰值相比，会造成较大的误差。给出了用均匀光纤布拉格光纤和埋入材料的HiBiFBG测量聚合物树脂体积收缩的两个实验。与简单的未处理峰值检测方法相比，其准确度更高。
The implementation of a radial-basis function network to approximate spectra of the signal reflected by a fibre Bragg grating sensor is reported. This algorithm helps the interpretation of the data acquired with equipment as an optical spectrum analyser. Results using a double-peaked spectrum from a uniform fibre Bragg grating sensor show that the common practice of fitting the spectrum with different interpolation methods and finding its peak, or directly finding the maximum intensity position of the raw spectrum, would cause a larger error when compared to searching for the peak of an approximated spectrum using the proposed neural network. An example is demonstrated through two experiments measuring the volumetric shrinkage of polymeric resin using a uniform FBG and a HiBi FBG embedded in the material. The obtained accuracy is higher than that obtained with the simple non-processed peak detection.