Robust estimation of magnetic Barkhausen noise based on a numerical approach

This paper deals with a multi-features numerical instrument to estimate and qualify Barkhausen noise. Starting from traditional instruments based on RMS value of the band-pass filtered measured signal, the proposed method is based on the simultaneous analysis of the excitation voltage, the excitation current and the induced signal. The aim is to overcome the well-known limits in terms of measurement repeatability and noise immunity. A good repeatability improvement is achieved by monitoring the excitation impedance, while synchronizing the RMS evaluation to the excitation current signal increases the robustness with respect to the environmental electromagnetic noise. Moreover, the use of shape-based parameters is encouraged to better qualify the Barkhausen signal.