Cognitive Sensor Technology for Structural Health Monitoring
Cognitive Sensor Technology for Structural Health Monitoring
复制标题
用于结构健康监测的认知传感器技术
DOI：
10.1016/j.prostr.2017.07.027
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
A. Serov
中科院分区：
文献类型：
--
作者：
A. Serov
本文提出了基于认知传感器技术的人工神经网络结构，可用于智能SHM系统的开发。动态人工神经网络（DANN）具有依赖于时间的结构，该结构由处理输入数据流的经验定义。所提出的模型的优点包括能够在处理数据流的基础上学习线性和非线性模式。DANN体系结构的演化包括由独立的认知传感器开发的网络的自主增长阶段和由此产生的网络的合作增长阶段。提出的认知技术解决结构健康监测问题的应用实例进行了讨论。
Current paper presents artificial neural network architecture based on Cognitive Sensor technology which may be used for development of intelligent SHM systems. Dynamic Artificial Neural Network (DANN) has time dependent structure which is defined by experience of processing input data streams. Advantages of proposed model include ability to learn both linear and non-linear patterns on the basis of processing data streams. Evolution of DANN architecture includes stage of autonomous growth of subnets developed by separate Cognitive Sensors and stage of cooperative growth of resulting network. Example application of proposed cognitive technology for solution of Structural Health Monitoring problems is discussed.