Considering the increasingly wide application of optical fiber sensors, this article aims to present an alternative form of interrogation without the use of an optical spectrum analyzer or any other high‐cost devices. The sensor studied here is a long‐period grating being used to measure temperature. The interrogator is composed of optical filters and photodetectors whose responses are processed by a suitably trained artificial neural network. Results show that this technique enables effective interrogation of a range limited only by the optical bandwidth of the light source.

中文翻译：

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基于滤波器组和人工神经网络的光学传感器询问系统

考虑到光纤传感器的日益广泛的应用，本文旨在提出一种替代形式的询问，而无需使用光谱分析仪或任何其他高成本的设备。此处研究的传感器是用于测量温度的长周期光栅。询问器由光学滤波器和光电探测器组成，它们的响应由经过适当训练的人工神经网络处理。结果表明，该技术能够有效询问仅受光源的光带宽限制的范围。