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Volumn , Issue , 2008, Pages 1751-1754

Estimating crack size and location in a steel plate using ultrasonic signals and CFBP neural networks

Author keywords

ANN; CFBP; Crack location; Crack size; FFBP; Steel plate; Ultrasonic

Indexed keywords

ANN; ARTIFICIAL NEURAL NETWORKS; CFBP; CRACK LOCATION; CRACK LOCATIONS; CRACK SIZE; CRACK SIZES; ELECTRICAL AND COMPUTER ENGINEERING; FEED-FORWARD BACK-PROPAGATION; FFBP; NEURAL NETWORK MODELLING; PEAK AMPLITUDES; STEEL PLATE; STEEL PLATES; TIME -OF-FLIGHT; ULTRASONIC; ULTRASONIC ECHO SIGNALS; ULTRASONIC SIGNALS;

EID: 51849102991     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2008.4564844     Document Type: Conference Paper
Times cited : (11)

References (9)
  • 1
    • 51849085331 scopus 로고    scopus 로고
    • Improved Offshore Ultrasonic Oil Pipe Thickness Accurate Detection Using Hilbert-Huang Transform and Elman Neural Network
    • Q. Zhang, P. Que, "Improved Offshore Ultrasonic Oil Pipe Thickness Accurate Detection Using Hilbert-Huang Transform and Elman Neural Network," ournal of Japan Petroleum Institute, Vol. 49, No. 6, pp. 321-325, 2006.
    • (2006) ournal of Japan Petroleum Institute , vol.49 , Issue.6 , pp. 321-325
    • Zhang, Q.1    Que, P.2
  • 2
    • 24944513857 scopus 로고    scopus 로고
    • Defect Classification in Pipes by Neural Networks Using Multiple Guided Ultrasonic Wave Features Extracted after Wavelet Processing
    • P. Rizzo, I. Bartoli and A. Marzani, "Defect Classification in Pipes by Neural Networks Using Multiple Guided Ultrasonic Wave Features Extracted after Wavelet Processing," Journal of Pressure Vessel Technology, Transactions of the ASME, Vol. 127, No. 3, pp. 294-303, 2005.
    • (2005) Journal of Pressure Vessel Technology, Transactions of the ASME , vol.127 , Issue.3 , pp. 294-303
    • Rizzo, P.1    Bartoli, I.2    Marzani, A.3
  • 3
    • 0031994949 scopus 로고    scopus 로고
    • Defect Detection in Pipes Using Guided Waves
    • M. J. S. Lowe, D. N. Alleyne and P. Cawley, "Defect Detection in Pipes Using Guided Waves," Ultrasonics, 36, pp. 147-154, 1998.
    • (1998) Ultrasonics , vol.36 , pp. 147-154
    • Lowe, M.J.S.1    Alleyne, D.N.2    Cawley, P.3
  • 4
    • 2942720890 scopus 로고    scopus 로고
    • Automatic Defect Classification in Long-Range Ultrasonic Rail Inspection Using a Support Vector Machine-Based Smart System
    • J. McNamara, F. Lanza di Scalea and M. Fateh, "Automatic Defect Classification in Long-Range Ultrasonic Rail Inspection Using a Support Vector Machine-Based Smart System," Insight, 46, pp. 331-337, 2004.
    • (2004) Insight , vol.46 , pp. 331-337
    • McNamara, J.1    Lanza di Scalea, F.2    Fateh, M.3
  • 8
    • 51849084897 scopus 로고    scopus 로고
    • Y. Zhang, C. C. Ng, A. Sahoo, H. Chen, and M. J. Zuo, Inspection of EMD Slots on Steel Blocks Using OmniScan, Technical Report, Reliability Lab, Department of Mechanical Engineering, University of Alberta, June 15, 2007.
    • Y. Zhang, C. C. Ng, A. Sahoo, H. Chen, and M. J. Zuo, "Inspection of EMD Slots on Steel Blocks Using OmniScan,", Technical Report, Reliability Lab, Department of Mechanical Engineering, University of Alberta, June 15, 2007.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.