1967
DOI: 10.1049/piee.1967.0373
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Roth's method for the solution of boundary-value problems in electrical engineering

Abstract: Between the years 1927 and 1938 the French engineer E. Roth developed a powerful method for the solution of boundary-value problems in electrical engineering. He applied the method to problems in heat conduction and magnetic-field problems in electrical machines and transformers, although the application of the method is not necessarily limited to such devices. In spite of its possibilities, the method has been omitted from the standard treatises on electromagnetic problems, because there are certain difficult… Show more

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Cited by 23 publications
(11 citation statements)
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“…3, all of the available methods (e.g. FEM, Roth [11] etc.) resort to some type of computationally intensive numeric techniques.…”
Section: Sddm Leakage Inductance Modeling Of Asymmetric Winding Smentioning
confidence: 99%
“…3, all of the available methods (e.g. FEM, Roth [11] etc.) resort to some type of computationally intensive numeric techniques.…”
Section: Sddm Leakage Inductance Modeling Of Asymmetric Winding Smentioning
confidence: 99%
“…With n the number of turns in a layer, a the conductor width and b the core window width Some other semi-analytical computational models based on the resolution of Poisson's equation such as PEEC formulation [44] or Roth's method [45] can be used for 2-D transformer's winding cross section. These methods are efficient only when material in rectangular region is homogeneous.…”
Section: Modeling Pmc: Analytical Vs Numericalmentioning
confidence: 99%
“…Multiply the two sides of the second equation of (32) by cos(knx), and integrate it on [0, L]: 35, (36) and the first equation of (32), the following matrix system are obtained:…”
Section: Appendix a Derivation Of Equationmentioning
confidence: 99%
“…To be more general, the method of Roth can be applied for 2D transformer's winding cross section. This method consists in using double Fourier series to solve the Poisson's equations in a rectangular region [36]. However, double Fourier series exhibit a low convergence rate so that they are computationally expensive.…”
Section: Introductionmentioning
confidence: 99%