光学精密工程2012，Vol.20Issue(4)：712-718,7.DOI:10.3788/OPE.20122004.0712
基于小波包特征提取及支持向量回归机的光纤布拉格光栅冲击定位系统
Identification of impact location by using FBG based on wavelet packet feature extraction and SVR
摘要
Abstract
A real-time monitoring system of composite impact loads was constructed by a Fiber Bragg Grating(FBG) sensor network, and the wavelet packet feature extraction and a Support Vector Regression (SVR) were used to identify the impact location. For the impact response signals at the same position measured by different FBG sensors, the wavelet packet energy spectrum analysis shows that some specifically frequency bands of sensor signals are sensitive to the impact. The relation between impact location and wavelet energy was studied and the sixth decomposition level wavelet packet energy was chosen as the characteristic vector of the impact location. The SVR whose tuning parameters have been optimized was used to established the sample regression model and predict the impact location. The result shows that network testing error of the SVR is 4. 81%. The research provides a practical reference for the impact performance evaluation of the structures from carbon fiber reinforced plastics.关键词
光纤光栅传感器/复合材料构件/冲击载荷定位/小波包能量谱/支持向量回归机Key words
Fiber Bragg Grating (FBG) sensor/composite component/impact load position/wavelet packet energy spectrum/Support Vector Regression(SVR)分类
信息技术与安全科学引用本文复制引用
芦吉云,王帮峰,梁大开..基于小波包特征提取及支持向量回归机的光纤布拉格光栅冲击定位系统[J].光学精密工程,2012,20(4):712-718,7.基金项目
国家自然科学基金资助项目(No.51075207) （No.51075207）
江苏省博士后基金资助项目(No.1001014C) （No.1001014C）
中国博士后基金资助项目(No.20110491414) （No.20110491414）
南京航空航天大学引进人才基金资助项目(No.YAH10013) （No.YAH10013）
