Smart optical fiber sensor for impact localization on planar structures

Fabiano Ribeiro, Gustavo Rafael Collere Possetti, J. Fabris, M. Muller
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引用次数: 4

Abstract

This work shows a method to determine, in real time, external impact location on planar structures based on responses of optical fiber strain sensors. In order to demonstrate experimentally the sensing approach, four fibre Bragg gratings were attached to a polymeric board for detecting the disturbance caused by a drop weight impact. An artificial neural network was used to process the sensor responses and to identify the quadrant location of the impact on the structure. The results demonstrate that such location can be predicted with correct classification rate of approximately 85.0% in validation step.
面向平面结构冲击定位的智能光纤传感器
这项工作展示了一种基于光纤应变传感器的响应来实时确定平面结构上外部冲击位置的方法。为了在实验中验证这种传感方法,将四个光纤布拉格光栅连接到一块聚合物板上,用于检测由落锤撞击引起的扰动。利用人工神经网络对传感器的响应进行处理,并确定冲击对结构的象限位置。结果表明,在验证步骤中,该位置的正确分类率约为85.0%。
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