Fiber optic sensor for characterization of surface coatings

E. Franke
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引用次数: 0

Abstract

A fiber optic sensor for determining the type and condition of aircraft coatings was originally developed to provide adaptive control of automated coating removal. The sensor, based on analysis of optical reflectance spectra, has also been found useful for determining the condition of other materials. Investigations have shown that artificial neural networks can be trained to recognize specific materials or material conditions from the sensor signals.
表征表面涂层的光纤传感器
一种用于确定飞机涂层类型和状况的光纤传感器最初是为了提供自动涂层去除的自适应控制而开发的。基于光学反射光谱分析的传感器也被发现对确定其他材料的状况很有用。研究表明,人工神经网络可以通过训练从传感器信号中识别特定的材料或材料条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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