基于人工神经网络的BOTDA传感器系统温度剖面提取

2015 Opto-Electronics and Communications Conference (OECC) Pub Date : 2015-12-03 DOI:10.1109/OECC.2015.7340143

A. Azad, Liang Wang, N. Guo, C. Lu, H. Tam

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引用次数: 6

摘要

在BOTDA光纤传感器系统中，提出并演示了基于人工神经网络的局部布里渊增益谱温度剖面提取方法。结果表明，人工神经网络可以采用大频率扫描步长，从而显著缩短BOTDA测量时间。

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Temperature profile extraction using artificial neural network in BOTDA sensor system

We propose and demonstrate Artificial Neural Network (ANN) based temperature profile extraction from local Brillouin gain spectrum in BOTDA fiber sensor system. Results show that ANN can adopt large frequency scanning step and hence reduce BOTDA measurement time significantly.

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2015 Opto-Electronics and Communications Conference (OECC)

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