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.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2002年第9期813-816,共4页
Chinese Journal of Lasers
