宽量程反射式光纤位移传感器的研究  

Study on Reflective Fiber Optic Sensor for Displacement Measurement over a Wide Measuring Range

作　　者：汪晓东[1] 叶美盈[1] 

机构地区：[1]浙江师范大学数理与信息科学学院,浙江金华321004

出　　处：《中国激光》2002年第9期813-816,共4页Chinese Journal of Lasers

摘　　要：分析了反射式光纤位移传感器的输出特性,设计了一种新的宽量程反射式光纤位移传感器。以传感器的输出及其相对应的实际位移训练神经网络,建立基于神经网络的传感器逆模型,将其用于传感器输出信号的处理,扩大了测量范围和提高了测量精度。The output characteristic of reflective fiber optic displacement sensor was analyzed. A novel reflective fiber optic sensor for displacement measurement over a wide measuring range was designed. An inverse model of the sensor was obtained based on neural network trained by the sensor's output and the actual sensed displacement. The neural network was used to process the sensor's output signal, which could largely widen the measuring range and enhance the measuring accuracy.

关 键 词：反射式光纤位移传感器 位移测量 神经网络 非线性校正 

分 类 号：TP212.14[自动化与计算机技术—检测技术与自动化装置] TN253[自动化与计算机技术—控制科学与工程]