Abstract
It becomes difficult to build new nuclear power stations, so assurance of safety of existing power stations over extended period is needed. For this purpose it is essential to predict and diagnose the degree of degradation in structural materials.
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© 1995 Springer-Verlag Berlin Heidelberg
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Ochiai, T., Shuto, T., Hamabe, S., Yamaguchi, A., Maeda, N., Yagawa, G. (1995). Barkhausen Noise Tentative Analysis using Neural Networks. 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_15
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DOI: https://doi.org/10.1007/978-3-642-79654-8_15
Publisher Name: Springer, Berlin, Heidelberg
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