2005
DOI: 10.1109/tmag.2005.854863
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A simple predicting method for magnetic losses of electrical steel sheets under arbitrary induction waveform

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Cited by 22 publications
(7 citation statements)
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“…One probable cause of such differences is the under-estimation of iron losses due to the waveform for magnetic excitation [10]. Although iron loss measurements should be excited with sinusoidal voltages, this work established the loss models using square-formed voltages in accordance with the limits of the facilities.…”
Section: Comparison Of Unit Volumes and Lossesmentioning
confidence: 99%
“…One probable cause of such differences is the under-estimation of iron losses due to the waveform for magnetic excitation [10]. Although iron loss measurements should be excited with sinusoidal voltages, this work established the loss models using square-formed voltages in accordance with the limits of the facilities.…”
Section: Comparison Of Unit Volumes and Lossesmentioning
confidence: 99%
“…4 [11], thus contradicting its physical meaning. In this situation, the simplest two-component methods [3,4] may be preferable. It does not mean that the excess loss techniques should be discarded; they should be simply applied with care.…”
Section: Article In Pressmentioning
confidence: 99%
“…These techniques can be broadly subdivided into two-and three-component methods according to the way in which this data is used. In the two-component methods, the measured loss W is subdivided into hysteresis (static) and eddy current (dynamic) losses [2][3][4]. Three-component methods rely on the full loss separation which additionally supposes the subdivision of the dynamic loss, W dyn , into classical, W clas , and excess loss, W exc [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…To address these needs, this paper referred to the ASTM A927/A927M-04 and related references [ 5 – 9 ] by self-designing a detachable standardized toroidal test frame for measuring the iron loss of toroidal laminated silicon-steel sheets and for isolating the winding tolerances for precise characteristic comparison among similar but different samples. The accompanying power circuit can provide the signal for iron losses under sinusoidal waveform excitation for comparison with existing data.…”
Section: Introductionmentioning
confidence: 99%