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杨建良, 郭照华, 向清, 黄德修. 基于神经网络与光纤传感阵列的结构状态监测方法[J]. 力学学报, 1998, 30(2): 213-219. DOI:10.6052/0459-1879-1998-2-1995-118
引用本文: 杨建良, 郭照华, 向清, 黄德修. 基于神经网络与光纤传感阵列的结构状态监测方法[J]. 力学学报, 1998, 30(2): 213-219.DOI:10.6052/0459-1879-1998-2-1995-118
STRUCTURAL STATE DETECTION WITH FIBEROPTIC SENSING ARRAY AND NEURAL NETWORK SIGNAL PROCESSING TECHNIQUES 1)[J]. Chinese Journal of Theoretical and Applied Mechanics, 1998, 30(2): 213-219. DOI:10.6052/0459-1879-1998-2-1995-118
Citation: STRUCTURAL STATE DETECTION WITH FIBEROPTIC SENSING ARRAY AND NEURAL NETWORK SIGNAL PROCESSING TECHNIQUES 1)[J].Chinese Journal of Theoretical and Applied Mechanics, 1998, 30(2): 213-219.DOI:10.6052/0459-1879-1998-2-1995-118

基于神经网络与光纤传感阵列的结构状态监测方法

STRUCTURAL STATE DETECTION WITH FIBEROPTIC SENSING ARRAY AND NEURAL NETWORK SIGNAL PROCESSING TECHNIQUES 1)

  • 摘要:以探测机敏复合材料与结构内应变、应力及损伤等物理状态的位置信息为目的.提出了一种新颖的可内埋于材料与结构内作为结构状态监测用的强度调制型光纤传感阵列网络,并采用人工神经网络来处理传感阵列输出的并行分布式传感信号,阐述了适用的Kohonen网模型及其变化形式,给出了仿真实验结果

    Abstract:In this paper, a type of simple and excellent crank type etched fiberoptic intensity sensor is presented. A three dimension sensing network, which is composed of etched fiberoptic sensors, is embedded in the laminated composite material structure of vertical tail wing of training 11 plane for the purpose of nondestructive evaluation of structural states in smart composite material and structures. The composite specimens in which sensing network is embedded are tested with stretch and bending in three poi...

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