Application of an artificial neural network for simultaneous measurement of bending curvature and temperature with long period fiber gratings
作者： J. Sun , C.C. Chan , K.M. Tan , X.Y. Dong , P. Shum
DOI: 10.1016/J.SNA.2007.03.019
关键词:
摘要: Abstract An artificial neural network approach is proposed for simultaneous measurement of bending curvature and temperature the embedded long period grating sensors. The sensing system composed two different types gratings: one H 2 -loaded other Bo/Ge co-doped. By measuring variations amplitudes transmission dips, can be determined simultaneously. root-mean-square (RMS) errors measurements are 0.0072 m −1 0.1898 °C, respectively.
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