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1.
A suitable fiberoptic sensing array embedded in the smart structure to monitor quasi-distrbuted froces on the structrue in presented in this paper.Artificial neural networks are used in processing of fiberoptic sensing array signals.Fundamental experiments have been done and the results are also given.  相似文献   

2.
A novel type of two-dimensional damage assessment system for real-time monitoring the structural health of composite strurcture is described.The configura-tion of the embedded fiberoptic sensor array and the model of the artificial neural net-work(ANN) are discussed.The experimental system and results show that the system can monitor a damage of structures with potential application in areas usch as space aero-uautics,civil engineering,etc.  相似文献   

3.
StructuralDamageAssessmentbyanEmbeddedFiberopticSensorArrayandItsANNSignalProcessor¥ZHAOTingchao;HUANGShanglian;CHENWeimin(Ch...  相似文献   

4.
光纤机敏结构评述   总被引:2,自引:0,他引:2  
黄尚廉 《半导体光电》1995,16(3):203-208
介绍了光纤机敏结构的概念,效益及应用。对光纤机敏结构中光纤传感器、执行器、人工神经网络三大关键技术的现状与发展作了简单评述。  相似文献   

5.
人工神经网络技术作为机敏材料与结构的关键技术之一,在国外已受到人们的关注。本文探索将人工神经网络技术应用于光纤阵列传感信号处理中的原理、结构及应用于材料与结构损伤估计的方法。给出了适应于此,已用程序实现的两种神经网络模型的仿真处理结果。  相似文献   

6.
A universal spectral modulation sensor with low cost,stable,reliable and accurate performances is presented.The optical measuring device using a universal spectral modulation sensor is immune to change the intensities of the light source and light transmission due to optical fiber bending and optical fiber connector loss.The spectral modulation sensor system can detect and measure various physical parameters such as pressure,temperature,gas density,and various chemical species.  相似文献   

7.
灵巧结构与蒙皮中的光纤传感技术   总被引:1,自引:0,他引:1  
在复合材料结构部件内或蒙皮中埋入光纤传感网络,称为灵巧结构与蒙皮。该技术受到各国政府和军方的高度重视,成为90年代材料与传感技术的一个热点。  相似文献   

8.
An approach by using neural network signal processing in associate with embedded fiberoptic sensing array for the newly developed“smart material systems and structures” is discussed in this paper.The principle,structure of this approach and suitable neural network algorithms are described.The results of simulation experiments are also given.  相似文献   

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