2020
DOI: 10.1007/978-3-030-56970-9_29
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Weight-Function Identification for the Preisach Model of Laminated Steels Using Concentric Hysteresis Loops

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Cited by 2 publications
(4 citation statements)
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“…Alternative methods are to FORC measurements are either to base the Preisach distribution are based on measurements of symmetrical loops around the origin, i.e., concentric cycles of different magnitude [ 210 , 211 , 212 , 213 , 214 ]. Another approach is to create it based on the shape of the initial magnetizing curve [ 215 ].…”
Section: History By Reversal Curvesmentioning
confidence: 99%
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“…Alternative methods are to FORC measurements are either to base the Preisach distribution are based on measurements of symmetrical loops around the origin, i.e., concentric cycles of different magnitude [ 210 , 211 , 212 , 213 , 214 ]. Another approach is to create it based on the shape of the initial magnetizing curve [ 215 ].…”
Section: History By Reversal Curvesmentioning
confidence: 99%
“…Undesired negative values in the Preisach weight distribution can result in incorrect congruencies, that can give unphysical curve shapes with some reversal curves leaving the hysteresis area [ 214 ]. It may then be necessary to adjust the distribution to be entirely positive and, thus, avoid regions with negative values [ 175 ].…”
Section: Negative Values In the Preisach Distributionmentioning
confidence: 99%
“…The measured data have to be constructed into a proper Preisach model before the congruency property can be applied correctly [40]. Correctly measured FORCs could also result in a Preisach model that has reversal curves that leave the hysteresis area [440]. This is the case if there are negative weight distributions in the Preisach distributions [440].…”
Section: Preisach Models Generated By Scaled Major Loop Curvesmentioning
confidence: 99%
“…Correctly measured FORCs could also result in a Preisach model that has reversal curves that leave the hysteresis area [440]. This is the case if there are negative weight distributions in the Preisach distributions [440].…”
Section: Preisach Models Generated By Scaled Major Loop Curvesmentioning
confidence: 99%