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Detection and classification of material attributes-a practical application of wavelet analysis

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4 Author(s)
P. Maass ; Zentrum fur Technomath., Bremen Univ., Germany ; G. Teschke ; W. Willmann ; G. Wollmann

We describe a method for classifying material properties from measurements of the Barkhausen effect, which originates from a fast magnetization of ferromagnetic materials using alternating currents. We use wavelet analysis to develop a tool box for evaluating Barkhausen measurements. The described wavelet techniques allow detection of extremely weak signals in the Barkhausen noise voltage. By using a statistical classification rule, we show that the detected structures are directly related to material properties

Published in:

IEEE Transactions on Signal Processing  (Volume:48 ,  Issue: 8 )