Feature Extraction of Composite Damage on Acoustic Emission Signals

Han Wen Qin, Zhou Jin Yu


 The aim of this study was to develop efficient methods to discriminate different damage mechanisms of composite. For this purpose, integration of Empirical Mode Decomposition (EMD) method and Hilbert-Huang Transform (HHT) was applied to define more relevant time-frequency descriptors. A complete methodology for the post-processing of the acoustic emission (AE) waveforms recorded during the quasi-static tension test of carbon fiber twill weave composite material was established in this work. AE signal is decomposed into several IMF components by means of EMD algorithm. The EMD can detach and extract all damage modes which consist in an AE signal. The HHT provide instantaneous frequencies in time-scale of an AE signal, which can be used as a new time-frequency descriptors of composite damage modes.

Full Text:



Hugueta S, Godina N, Gaertnera R, et al. Use of acoustic emission to identify damage modes in glass fibre reinforced polyester. Compos Sci Technol. 2002; 62(10):1433–1444

J.M. Berthelot, J. Rhazi. Acoustic emission in carbon fibre composites. Composites Science and Technology. 1990; 37 (4): 411–428

N. Godin, S. Huguet, R. Gaertner, et al. Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers. NDT&E International. 2004; 37 (4): 253–264

G.N. Morscher, J. Martinez-Fernandez, M.J. Purdy. Determination of Interfacial Properties Using a Single-Fiber Microcomposite Test. J. Am. Ceram. Soc. 1996; 79(4): 1083–1091

P.J.deGroot,P.A.M.Wijnen. Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites. Composites Science and Technology. 1995; 55 (4): 405–412

C.R.Ramirez-Jimenez,N.Papadakis,N.Reynolds, et al. Identification of failure modes in glass/polypropylene composites by means of the primary frequency content of the acoustic emission event. Composites Science and Technology. 2004; 64 (12): 1819–1827

R. Gutkin, C.J. Green , S. Vangrattanachai , et al. On acoustic emission for failure investigation in CFRP:Pattern recognition and peak frequency analyses. Mechanical Systems and Signal Processing. 2011;25 (4): 1393–1407

V.Arumugam, S.Sajith, A.JosephStanley. Acoustic Emission Characterization of Failure Modes in GFRP Laminates Under Mode I Delamination. J Nondestruct Eval. 2011; 30 (3):213–219

Mardiyono Mardiyono, Reni Suryanita, Azlan Adnan. Intelligent Monitoring System on Prediction of Building Damage Index using Artificial Neural Network. TELKOMNIKA Telecommunication Computing Electronics and Control. 2012; 10(1): 147-154.

M. Moevus, N. Godin, M. RMili, et al. Analysis of Damage Mechanisms and Associated Acoustic Emission in Two SiCf/[Si-B-C] Composites Exhibiting Different Tensile Behaviours. Part II. Unsupervised Acoustic Emission Data Clustering. Compos. Sci. Technol. 2008; 68(6): 1258–1265

R. de Oliveira, A.T. Marques. Health Monitoring of FRP Using Acoustic Emission and Artificial Neural Networks. Comput. Struct. 2008; 86(3-5): 367–373

N. Godin, S. Huguet, and R. Gaeertner. Integration of the Kohonens Self-Organizing Map and k-Means Algorithm for the Segmentation of the AE Data Collected During Tensile Tests on Cross-Ply Composites. NDT&E Int. 2005; 38(4): 299–309

Norden. E. Huang, M. C. Wu, S. R. Long, et al. A confidence limit for the empirical mode decomposition and Hilbert spectrum analysis. Proc R Soc Lond A. 2003; 459(4): 2317-2345

Dou Dongyang, Zhao Yingkai. Application of ensemble empirical mode decomposition in failure analysis of rotating machinery. Transactions of the CSAE. 2010; 26(2): 190-196.

DOI: http://doi.org/10.12928/telkomnika.v11i4.1199


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604