摘要
主动监测技术是近几年来发展起来的复合材料损伤监测的新技术。本文将Kohonen自组织特征映射神经网络与主动监测技术相结合应用于复合材料损伤监测中。该方法具有结构算法简单、无导师监督学习和侧向联想等功能。根据此方法及虚拟仪器技术 ,设计开发了相应的复合材料结构损伤监测系统。经复合材料损伤监测实例验证 。
Active monitoring technique is an emerging one used for damage detecting.This paper applies a new combined method of Kohonen self\|organizing feature neural network and active damage monitoring technique to composites.The proposed method features a simple structure algorithm,unsupervised self\|study and lateral association,etc.According to such method and the virtual instrument technique,an active damage monitoring system for composites is developed.This effective method for damage detection has been verified in the course of its practical use.
出处
《材料科学与工程》
CSCD
北大核心
2002年第4期513-516,共4页
Materials Science and Engineering
基金
国家自然科学基金 (50 1 350 30 )
十五国防研究资助项目 (J1 60 0E0 0 1 )
江苏省333专项基金资助项目
