Hybrid Intelligent Damage Identification of Composite Plate Based on Ensemble Empirical Mode Decomposition and Support Vector Machine

摘要：

　　In this paper,a novel method based on strain distribution is presented to determine the presence of damage and its location in composite plate.By building a damage monitoring experimental platform with Fiber Bragg Gratings (FBGs) sensors,impact experiments are made respectively to gain the strain distribution both in heath and damage state.EEMD is used to process the data and IMFs energy feature is evaluated.Then,sup-port vector machine is applied to identify the damage and the testing classification accuracy reaches 92.86%.Finally,by using the influence of the damage position and the propagation path on energy,the damage loca-tion is predicted.The experimental results indicate that the proposed method can accurately identify the pres-ence and position of damage.The effectiveness and reliability of the proposed method is verified.

关键词： Composite materials FBG EEMD Sup-port vector machine

作者: Qiang Chen Xuefeng Chen Xiaojun Zhu Zhi Zhai Shaohua Tian Zhengjia He

作者单位: The State Key Laboratory for Manufacturing Systems Engineering School of Mechanical Engineering,Xi”an Jiaotong University,P.R.China

会议类型: 国内会议

会议名称: SAMPE中国2013先进复合材料制品、原材料、工装及工程应用展览会

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2013-10-29（万方平台首次上网日期，不代表论文的发表时间）