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

被引：0

作者：

Qiang Chen ^{[1
]}

Xuefeng Chen ^{[2
]}

Xiaojun Zhu ^{[1
]}

Zhi Zhai ^{[1
]}

Shaohua Tian ^{[1
]}

Zhengjia He ^{[1
]}

机构：

[1] State Key Laboratory for Manufacturing Systems Engineering,Xi'an Jiaotong University

[2] School of Mechanical Engineering,Xi’an Jiaotong University

来源：

纤维复合材料 | 2013年 / 30卷 / 04期

关键词：

composite materials; FBG; EEMD; support vector machine;

D O I：

暂无

中图分类号：

TG115.28 [无损探伤]; TP18 [人工智能理论];

学科分类号：

080502 ; 081104 ; 0812 ; 0835 ; 1405 ;

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,support 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 location is predicted.The experimental results indicate that the proposed method can accurately identify the presence and position of damage.The effectiveness and reliability of the proposed method is verified.

引用

页码：3 / 7

页数：5

共 8 条

[1]

Fiber Cross-Section Shape Effect on Rate-Dependent Behavior of Polymer Matrix Composites with Fbgs Sensors[J] . Chun Huy Wang. &nbspApplied Mechanics and Materials . 2013 (284)

[2]

Energy Detection of Low Velocity Impact on Fiber Optic Composite Material Structure. LU Guan,LIANG Dakai,et al. Chinese Journal of Scientific Instrument . 2010

[3]

Ensemble Empirical Mode Decomposition: a noise-assisted data analysis method. Wu Z,Huang N E. Advances in Adaptive Data Analysis . 2009

[4]

Mechanical Fault Diagnosis Using Support Vector Machine. LI Ling-jun,ZHANG Zhou-suo,HE Zheng-jia. International Journal of Plant Engineering and Management . 2003

[5]

The Nature of Statistical Learning Theory. Vapnik VN. New York . 1995

[6]

Structural Health Monitoring and Damage Control. YUAN Shenfang. National Defense Industry Press . 2007

[7]

Mechanics of Composite Materials[M]. Shen Guanlin,Hu Gengkai. Beijing Review . 2006

[8] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

← 1 →