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Volumn 45, Issue 9, 2003, Pages 608-614

Investigations on classifying pulsed eddy current signals with a neural network

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CORROSION; FEATURE EXTRACTION; FUSELAGES; MULTILAYER NEURAL NETWORKS; TIME DOMAIN ANALYSIS; TRANSFER FUNCTIONS; WAVELET TRANSFORMS;

EID: 0141857448     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.45.9.608.52940     Document Type: Article
Times cited : (7)

References (18)
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  • 4
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    • An Evaluation of Artificial Neural Networks for the Classification of Eddy Current Signals
    • D S Forsyth, A Fahr, C E Chapman, An Evaluation of Artificial Neural Networks for the Classification of Eddy Current Signals, Review of Progress in QNDE, Vol 13, pp879-996, 1993.
    • (1993) Review of Progress in QNDE , vol.13 , pp. 879-996
    • Forsyth, D.S.1    Fahr, A.2    Chapman, C.E.3
  • 5
    • 0141528305 scopus 로고    scopus 로고
    • A Novel Method for Automatic Defect Classification Using Artificial Neural Networks
    • L. Ghouti, 'A Novel Method for Automatic Defect Classification Using Artificial Neural Networks', Review of Progress in Quantitative Nondestructive Evaluation, pp843-850, Vol 18, 1999.
    • (1999) Review of Progress in Quantitative Nondestructive Evaluation , vol.18 , pp. 843-850
    • Ghouti, L.1
  • 9
    • 0033639481 scopus 로고    scopus 로고
    • Automatic Detecting and Classifying Defects During Eddy Current Inspection of Riveted lap-joints
    • F Lingvall, T Stepinski, 'Automatic Detecting and Classifying Defects During Eddy Current Inspection of Riveted lap-joints', NDT & E International, 33 (2000) pp47-55.
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    • Lingvall, F.1    Stepinski, T.2
  • 11
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    • An Automatic Signal Classification System for Ultrasonic Weld Inspection Signals
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    • P Ramuhalli, L Udpa, S S Udpa, 'An Automatic Signal Classification System for Ultrasonic Weld Inspection Signals', Materials Evaluation, pp65-69, January 2000.
    • (2000) Materials Evaluation , pp. 65-69
    • Ramuhalli, P.1    Udpa, L.2    Udpa, S.S.3
  • 13
    • 0041816989 scopus 로고
    • A Comparative Study of Conventional and Artificial Neural Network Classifiers for Eddy Current Signal Classification
    • January
    • M T Shyamsunder, C Rajagopalan, K K Ray, Baldev Raj, 'A Comparative Study of Conventional and Artificial Neural Network Classifiers for Eddy Current Signal Classification', Insight Vol. 37, No. 1, pp26-30, January 1995.
    • (1995) Insight , vol.37 , Issue.1 , pp. 26-30
    • Shyamsunder, M.T.1    Rajagopalan, C.2    Ray, K.K.3    Raj, B.4
  • 15
    • 84892149890 scopus 로고
    • A Technique for the Identification of Linear Systems
    • October
    • K Steiglitz, L E Mcbride, 'A Technique for the Identification of Linear Systems', IEEE Trans. on Automatic Control, pp461-464, October, 1965.
    • (1965) IEEE Trans. on Automatic Control , pp. 461-464
    • Steiglitz, K.1    McBride, L.E.2
  • 16
    • 0024700097 scopus 로고
    • A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
    • July
    • S G Mallat, 'A Theory for Multiresolution Signal Decomposition: The Wavelet Representation', IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol 11, No 7, pp674-693, July 1989.
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    • Mallat, S.G.1
  • 17
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    • Classification of Material Types Using Laser Speckle, Wavelets and Artificial Neural Networks
    • September
    • H Al-Nashas, Y Al-Assaf, B Lvov, W Mansour, 'Classification of Material Types Using Laser Speckle, Wavelets and Artificial Neural Networks', Materials Evaluation, pp1072-1078, September 2001.
    • (2001) Materials Evaluation , pp. 1072-1078
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.