Abstract
The maintenance of the steam generator (SG) tubings is one of the most important tasks for safety operation. Among various kinds of non- destructive testing methods, eddy current testing (ECT) using bobbin type probes has been widely utilized for the in- service inspection of SG tubings at each outage.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Shankar, C. L. Brown, A. N. Mucciardi, and T. J. Davis, “Feasibility of Using Adaptive Learning Networks for Eddy — Current Signal Analysis”, NP — 723, Electric Power Research Institute, Paro Alto, Cal. (1978).
P. G. Doctor, T. P. Harrington, T. J. Davis, C. J. Morris, and D. W. Fraley, “Pattern — recognition Methods for Classifying and Sizing Flaws Using Eddy -Current Data”, Eddy- Current Characterzation of Materials and Structures, ASTM STP722, George Birnbaum and George Free, Eds., American Society for Testing and Materials, (1981), pp464–483.
J. H. Flod, “Computer Intelligence Design for Automatic Inspection of Steam Generator Tubes”, American Society of Mechanical Engineers for presentation at the Joint Conference of the Pressure Vessels and Piping, Materials, Nuclear Engineering and Solar Divisions, (1981), No.81 — NE- 2.
C. L. Brown, D. C. Defibaught, E. B. Morgan, and A. N. Mucciardi, “Automatic Detection, Classification, and Sizing of Steam — Generator Tubing Defects by Characterization of Materials and structures, ASTM STP722, George Birnbaum and George Free, Eds., American Society for Testing and Materials, (1981), pp.484–493.
P. Simard, and Gaillard., “Automatic Classification and Recognition of Defects in an Eddy Current Non Destructive Testing”, Proceeding of IEEE, ICASSP86, Vol. (1986), pp.1441–1444.
S. S. Udpa, and L. Udpa, “Eddy Current Defect Characterization Using Neural Networks”, Materials Evaluation, Vol.48, March (1990), pp.342–347.
H. Komatsu, Y. Matsumoto, Z. Badics, K. Aoki, F. Nakayasu, M. Hashimoto, and K. Miya, “Study on Automatic ECT Data Evaluation by Using Neural Network”, in “Proceedings of 12th International Conference on NDE”, Philadelphia, U.S.A., October (1993).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matsumoto, Y., Badics, Z., Aoki, K., Nakayasu, F. (1995). Application of Neural Network to ECT Data Analysis of Steam Generator Tubings. In: Atluri, S.N., Yagawa, G., Cruse, T. (eds) Computational Mechanics ’95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79654-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-79654-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-79656-2
Online ISBN: 978-3-642-79654-8
eBook Packages: Springer Book Archive