The wavelet transform - a new method to analyse the Barkhausen effect. IBN - identified Barkhausen noise.

• Autorzy: Magalas L.B. , Malinowski T.
• Konferencja: XVth Physical Metallurgy and Materials Science Conference on Advanced Materials & Technologies AMT'98, 17-21 May 1998, Kraków-Krynica, Poland
• Języki publikacji: EN

Abstrakty

EN

A new approach to the Barkhausen noise (BN) based on wavelet analysis is presented. The BN level is usually expressed with the magnetoelastic parameter MP - relative number, which is proportional to the RMS (Root Mean Square) level of the BN. This approach is used in this paper in order to establish the relationship between the BN and the level of internal stresses. The application of the wavelet transform to studies of the Barkhausen effect is a new area, which we started in 1995. To our knowledge, we are the only laboratory in Poland that uses this approach. We expect, however, that the wavelet transform will soon become a standard tool in analysis of the Barkhausen effect.

Słowa kluczowe

EN

acoustics; wavelet; Barkhausen effect; stresses; ferromagnetic material

PL

akustyka; fala elementarna; efekt Barkhausena; naprężenia; materiał ferromagnetyczny

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Inżynieria Materiałowa
• Rocznik: 1998
• Tom: R. XIX, nr 3
• Strony: 364--367
• Opis fizyczny: Bibliogr.4 poz., rys.

Twórcy

autor

Magalas L.B.

• University of Mining and Metallurgy, Faculty of Metallurgy and Materials Science, Kraków, Poland

autor

Malinowski T.

• University of Mining and Metallurgy, Faculty of Metallurgy and Materials Science, Kraków, Poland

• University of Mining and Metallurgy, Faculty of Metallurgy and Materials Science, Kraków

Bibliografia

• [1] J. Morlet, G. Archs, I. Fourgeau, D. Giard, Geophysics, 47 (1982) 203.
• [2] Wavelets and Applications, Proc. Int. Conf., Marseille, May 1989, ed. By Y. Meyer, Masson, Springer-Verlag, 1992.
• [3] Different Perspectives on Wavelets, Proc. Symp. In Applied Mathematics, American Mathematical Society, vol. 47, 1993.
• [4] G. Kaiser, A Friendly Guide to Wavelets, Birkhäuser Boston, 1994.