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Volumn 6, Issue , 2010, Pages

Acoustic emission signals classification based on support vector machine

Author keywords

Acoustic emission signals; Classification; Composite laminates; Support vector machine; Wavelet packet analysis

Indexed keywords

ACOUSTIC EMISSION SIGNAL; AE SIGNALS; CLASSIFICATION; COMPOSITE LAMINATE; DATA FEATURE; EXPERIMENTAL DATA; FAULT CONDITIONS; SVM CLASSIFIERS; WAVELET PACKET ANALYSIS;

EID: 77958043393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCET.2010.5486240     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 1
    • 0036676117 scopus 로고    scopus 로고
    • Use of acoustic emission to identify damage modes in glass fibre reinforced polyester
    • S Huguet, N Godin, "Use of acoustic emission to identify damage modes in glass fibre reinforced polyester," Composite Science and Technology, Vol. 62, pp. 1433-1444, 2002.
    • (2002) Composite Science and Technology , vol.62 , pp. 1433-1444
    • Huguet, S.1    Godin, N.2
  • 2
    • 0037507612 scopus 로고    scopus 로고
    • Classification of AE transients based on numerical simulations of composite laminates
    • J. Mikael, "Classification of AE transients based on numerical simulations of composite laminates," NDT&E International, Vol. 36, pp. 319-329, 2003.
    • (2003) NDT&E International , vol.36 , pp. 319-329
    • Mikael, J.1
  • 3
    • 13844320880 scopus 로고    scopus 로고
    • Fuzzy pattern recognition of AE signals for grinding burn
    • Q. Liu and X. Chen, "Fuzzy pattern recognition of AE signals for grinding burn," Machine Tools & Manufacture, Vol. 45, pp. 811-818, 2005.
    • (2005) Machine Tools & Manufacture , vol.45 , pp. 811-818
    • Liu, Q.1    Chen, X.2
  • 4
    • 43749119631 scopus 로고    scopus 로고
    • Acoustic emission technique for monitoring the pyrolysis of composites for process control
    • B. R. Tittmann and C.E. Yen, "Acoustic emission technique for monitoring the pyrolysis of composites for process control," Ultrasonics, Vol. 48, pp. 621-630, 2008.
    • (2008) Ultrasonics , vol.48 , pp. 621-630
    • Tittmann, B.R.1    Yen, C.E.2
  • 5
    • 77958036310 scopus 로고    scopus 로고
    • Characteristic analysis and pattern recongnition of acoustic emission signals from flaw or damage in wood-plastic composites
    • D. M. Yin, J. Wang and Y. F. Liu, "Characteristic analysis and pattern recongnition of acoustic emission signals from flaw or damage in wood-plastic composites," Applied Acoustics, Vol. 26(6), pp. 352-355, 2007.
    • (2007) Applied Acoustics , vol.26 , Issue.6 , pp. 352-355
    • Yin, D.M.1    Wang, J.2    Liu, Y.F.3
  • 6
    • 0037869091 scopus 로고    scopus 로고
    • Acoustic emission characterization of failure modes in composites with ANN
    • C. Bhat, M. R. Bhat, C. R. L. Murthy, "Acoustic emission characterization of failure modes in composites with ANN," Composite Structures, Vol. 61, pp. 213-220, 2003.
    • (2003) Composite Structures , vol.61 , pp. 213-220
    • Bhat, C.1    Bhat, M.R.2    Murthy, C.R.L.3
  • 7
    • 77958028799 scopus 로고    scopus 로고
    • Automatic real-time SVM-based ultrasonic rail flaw detection and classification system
    • W. Hao and C. T. Li, "Automatic real-time SVM-based ultrasonic rail flaw detection and classification system," Journal of the Graduate School of the Chinese Academy of Sciences, Vol. 26(4), pp. 517-521, 2009.
    • (2009) Journal of the Graduate School of the Chinese Academy of Sciences , vol.26 , Issue.4 , pp. 517-521
    • Hao, W.1    Li, C.T.2
  • 9
    • 34147221468 scopus 로고    scopus 로고
    • Distinguishing cultivar apples yb electroninc nose based on multi-resolution decomposition and support vector machine
    • X. B. Zou and Z. W. Zhao, "Distinguishing cultivar apples yb electroninc nose based on multi-resolution decomposition and support vector machine," Chinese Journal of Scientific Instrument, Vol. 28 (3), pp. 534-537, 2007.
    • (2007) Chinese Journal of Scientific Instrument , vol.28 , Issue.3 , pp. 534-537
    • Zou, X.B.1    Zhao, Z.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.