2014
DOI: 10.1109/tia.2013.2293816
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Electrical Machine Iron Loss Predictions—A Unique Engineering Approach Utilizing Transient Finite-Element Methods—Part II: Application and Validation

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Cited by 9 publications
(1 citation statement)
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“…The method proposed by the authors provides better accuracy and is less complex than multi-variable polynomial response surface function fitting approach presented by Lorenz, 2014. Other competitive solutions are a piecewise variable parameter iron loss model (Zhao et al, 2017), IEM formula (Steentjes and Hameyer, 2012), where a fourth loss term with a higher order B dependence was introduced:…”
Section: Core Loss Modelsmentioning
confidence: 99%
“…The method proposed by the authors provides better accuracy and is less complex than multi-variable polynomial response surface function fitting approach presented by Lorenz, 2014. Other competitive solutions are a piecewise variable parameter iron loss model (Zhao et al, 2017), IEM formula (Steentjes and Hameyer, 2012), where a fourth loss term with a higher order B dependence was introduced:…”
Section: Core Loss Modelsmentioning
confidence: 99%