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Volumn 38, Issue 2, 2005, Pages 132-136

Eddy current flaw detection with neural network applications

Author keywords

Artificial neural network; Eddy current testing; Flaw detection; Radial basis networks

Indexed keywords

ALUMINUM; COPPER; INVERSE PROBLEMS; PARTIAL DIFFERENTIAL EQUATIONS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; TUBES (COMPONENTS);

EID: 23844534428     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2005.04.004     Document Type: Article
Times cited : (39)

References (5)
  • 1
    • 0034758331 scopus 로고    scopus 로고
    • Modeling of eddy current sensors
    • M. Wrzuszczak Modeling of eddy current sensors SPIE Proc. 4516 2001 125 130
    • (2001) SPIE Proc. , vol.4516 , pp. 125-130
    • Wrzuszczak, M.1
  • 2
    • 0030197478 scopus 로고    scopus 로고
    • An integrated signal processing and neural networks system for steam generator tubing diagnostics using eddy current inspection
    • W. Yan, R. Belle, and U. Padhyaya An integrated signal processing and neural networks system for steam generator tubing diagnostics using eddy current inspection Ann. Nucl. Energy 23 10 1996 813 825
    • (1996) Ann. Nucl. Energy , vol.23 , Issue.10 , pp. 813-825
    • Yan, W.1    Belle, R.2    Padhyaya, U.3
  • 3
    • 0033892221 scopus 로고    scopus 로고
    • Pattern recognition approaches for the detection and characterization of discontinuities by eddy current testing
    • M. Shyamsunder, C. Rajagopalan, and B. Raj Pattern recognition approaches for the detection and characterization of discontinuities by eddy current testing Mater. Eval. January 2000 93 101
    • (2000) Mater. Eval. , pp. 93-101
    • Shyamsunder, M.1    Rajagopalan, C.2    Raj, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.