摘要
提出了一种新颖的、采用刻纹多模光纤组成的可用于机敏材料与结构的竹节形光纤传感阵列,并探索采用人工神经网络来处理其输出的并行分布式传感信号,由此得到材料内应变、应力及损伤的大小及其位置等信息。给出了用BP网络对复合材料内光纤阵列传感信号的处理结果。
A novel fiberoptic sensor array with the shape of bamboo node is presented which is made of periodically etched multimode optical fibers and can be used for smart material and structures. An artificial neural network is applied to processing of parallel and distributing optical fiber array sensing signal in smart material, and to get the structure state such as dimension and location of stress, strain or damage in smart material and structures. The simulation results of BP network are given.
出处
《光学学报》
EI
CAS
CSCD
北大核心
1997年第11期1491-1496,共6页
Acta Optica Sinica
基金
国防科技预研基金
关键词
光纤传感
机敏材料
人工神经网络
信号处理
fiberoptic sensing, smart material and structure, artificial neural network.