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Volumn 42, Issue 10, 2006, Pages 3168-3170

Adaptive wavelets for characterizing magnetic flux leakage signals from pipeline inspection

Author keywords

Adaptive wavelets; iterative inversion; MFL inspection; RBFNN

Indexed keywords


EID: 85008050170     PISSN: 00189464     EISSN: 19410069     Source Type: Journal    
DOI: 10.1109/TMAG.2006.880091     Document Type: Article
Times cited : (117)

References (4)
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    • Neural network based inversion algorithms in magnetic flux leakage NDE
    • May
    • P. Ramuhalli, L. Udpa, and S. Udpa, “Neural network based inversion algorithms in magnetic flux leakage NDE,” J. Appl. Phys., vol. 93, no. 10, pp. 8274–8276, May 2003.
    • (2003) J. Appl. Phys. , vol.93 , Issue.10 , pp. 8274-8276
    • Ramuhalli, P.1    Udpa, L.2    Udpa, S.3
  • 2
    • 18144421923 scopus 로고    scopus 로고
    • Magnetic flux leakage modeling for mechanical damage in transmission pipelines
    • Sep.
    • P. A. Ivanov, Z. Zhang, C. H. Yeoh, L. Udpa, Y. Sun, S. S. Udpa, and W. Lord, “Magnetic flux leakage modeling for mechanical damage in transmission pipelines,” IEEE Trans. Magn., vol. 34, no. 5, pp. 3020–3023, Sep. 1998.
    • (1998) IEEE Trans. Magn. , vol.34 , Issue.5 , pp. 3020-3023
    • Ivanov, P.A.1    Zhang, Z.2    Yeoh, C.H.3    Udpa, L.4    Sun, Y.5    Udpa, S.S.6    Lord, W.7
  • 3
    • 33747975886 scopus 로고    scopus 로고
    • Reconstruction techniques for electrical resistance tomography
    • Jul.
    • A. Tamburrino, S. Ventre, and G. Rubinacci, “Reconstruction techniques for electrical resistance tomography,” IEEE Trans. Magn., vol. 36, no. 4, pp. 1132–1135, Jul. 2000.
    • (2000) IEEE Trans. Magn. , vol.36 , Issue.4 , pp. 1132-1135
    • Tamburrino, A.1    Ventre, S.2    Rubinacci, G.3
  • 4
    • 0003413187 scopus 로고
    • Neural Networks: A Comprehensive Foundation
    • Upper Saddle River, NJ: Prentice-Hall
    • S. Haykin, Neural Networks: A Comprehensive Foundation. Upper Saddle River, NJ: Prentice-Hall, 1994.
    • (1994)
    • Haykin, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.