3 - Quantitative characterization of Barkhausen noise

Abstract

This chapter presents the most used parameters to characterize Barkhausen noise signal. These parameters could be divided into three—scalar, vector, and feature. The scalar parameters such as the maximum, root mean square, and signal energy give a rapid estimation of the microstructural parameters from the Barkhausen signal. The vector parameters such as the signal envelope, the peak height distribution, and the power spectrum contain more information than the scalar parameters. Unlike the scalar parameters, the shape of vector parameters’ dependency on frequency or time could be correlated with material parameters. In addition, specific values or range of values of the vector parameters have shown to be related to microstructural material parameters. Finally, feature magnitudes such as spectrograms or feature maps could potentially contain much more information than vector and scalar parameters. However, the possibility of using feature parameters depends on their application.