摘要
提出了一种新颖的、采用周期性对称刻纹多模光纤组成的传感阵列网络，可用于智能材料与结构的应力、应变等的状态探测或损伤估计。探索了采用人工神经网络处理其阵列传感信号的原理与技术，并给出了BP网仿真结果。
Presented in this work is a novel fiberoptic sensor array which is made of symmetric periedically etched mutimode optical fibers, It may be applied to detcction of structurestate such as stress. strain or damage assessment in smart rnaterial and structures. The principle and technology of array sensing signal processing in artificial neural network are described.The simulation results of BP network are also given.
出处
《电子测量与仪器学报》
CSCD
1997年第1期12-16,共5页
Journal of Electronic Measurement and Instrumentation
基金
国防科技预研基金
关键词
刻纹光纤
光纤传感
神经网络
Etched optical Fiber
Fiberoptic sensing
Smart material and structure
Artificial neural network
