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提出了一种新颖的、采用周期性双面不对称刻纹多模光纤组成的传感阵列,可用于机敏材料与结构的状态探测与损伤估计.探索了采用人工神经网络处理其阵列传感信号的可行性,并给出了BP网与Kohonen网的仿真结果.
A novel sensing array composed of periodic double-sided asymmetric multi-mode fiber is proposed, which can be used for the state detection and damage estimation of smart materials and structures.It is explored that using artificial neural network to process array sensing signals The feasibility of BP network and Kohonen network is given.