基于神经网络振动系统辨识的结构健康监测
Structural Health Monitoring Using Neural Network Based Vibrational System Identification
摘要：
复合材料制造技术现在提供了生产高强度、低重量面板、板、翼梁和其他使用嵌入式光纤传感器和压电换能器的结构部件的手段。这些材料，通常被称为智能结构，使其能够感测内部特性，如分层或结构退化。在这项工作中，我们使用神经网络为基础的技术建模和分析的动态结构信息识别结构缺陷。这产生了一个适应性强的系统，它给出了一个衡量复合材料结构的结构完整性。
英文摘要：
Composite fabrication technologies now provide the means for producing high-strength, low-weight panels, plates, spars and other structural components which use embedded fiber optic sensors and piezoelectric transducers. These materials, often referred to as smart structures, make it possible to sense internal characteristics, such as delaminations or structural degradation. In this effort we use neural network based techniques for modeling and analyzing dynamic structural information for recognizing structural defects. This yields an adaptable system which gives a measure of structural integrity for composite structures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
