2006
DOI: 10.1016/j.sna.2005.11.026
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A new adaptive automated feedback system for Barkhausen signal measurement

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Cited by 21 publications
(17 citation statements)
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“…However, this leads to its conformity with the RMS value of BN (see Fig. 3(b)) [22]. The main problem with BN jump evaluation is the separation of background noise, as shown in Fig.…”
Section: Applicability Of Bn Parametersmentioning
confidence: 88%
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“…However, this leads to its conformity with the RMS value of BN (see Fig. 3(b)) [22]. The main problem with BN jump evaluation is the separation of background noise, as shown in Fig.…”
Section: Applicability Of Bn Parametersmentioning
confidence: 88%
“…The skin effect led to the exponentially decaying signal of the sample coil spectra correlating with the magnetic induction rate [1,4,17,25]. The dB=dt proportionality, however, should be additionally checked by measurement with a controlled induction rate [2,5,22]. The exponential fitting and low-pass filtering showed that the majority of detectable BN for the considered ferromagnetic materials is within the 30 kHz upper limit (see Figs.…”
Section: Stabilization Of Bn Responsementioning
confidence: 97%
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“…An in-house designed and built flux controller combines an analog circuit with a digital algorithm for rapid surface measurements with minimum error in the control loop [25]. Control of flux reduces the likelihood of potential artifact effects such as those introduced by air gaps, and increases the reproducibility of measurement results [25][26][27].…”
Section: Introductionmentioning
confidence: 99%