A three dimensional finite element analysis of the magnetic field in the end region of a synchronous generator

Steckel, Richard; Ducreux, Jean‐Pierre; Foggia, Albert

doi:10.1109/iemdc.1997.604342

Cited by 9 publications

(1 citation statement)

References 3 publications

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“…This direct approach is, therefore, mostly avoided. A commonly used alternative to this problem is to replace the end-windings with rectangular cross-section by current filaments, whose magnetic field contributions are computed by the Biot-Savart law (Richard, Ducreux, Foggia, 1997). This way the modeling procedure is simplified to some extent and also the computational costs are noticeably reduced.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the end-winding deformations in the synchronous machine under symmetrical short-circuit conditions using FEM*

Lang¹,

Stermecki

Bíró

et al. 2011

Elektrotech. Inftech.

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In this paper the numerical simulation of the end-winding deformations in a synchronous machine under symmetrical short circuit conditions is presented. A sequentially coupled numerical simulation between an electromagnetic and a structural mechanical problem has been carried out. Owing to the short-circuit conditions, both problems are to be computed in the time-domain. Analysis of the time-variant magnetic field has been performed using the T, F -F formulation for the finite element method (FEM). This way, the influence of the induced eddy currents in the clamping-plates and in the housing of the machine on the magnetic field in the end-region of the generator has been taken into the account. In order to reduce the computational time, the non-conforming finite element (FE) mesh approach has been used to solve the electromagnetic problem. In each time-step the Lorentz forces in the end-winding have been calculated and carried over to the structural-mechanical model. These forces have been applied in the centre of the end-winding bars in order to provoke the transient excitation for the mechanical structure. A time-stepping scheme has been applied to calculate end-winding deformations in each time-step.

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Section: Introductionmentioning

confidence: 99%

Numerical simulation of the end-winding deformations in the synchronous machine under symmetrical short-circuit conditions using FEM*

Lang¹,

Stermecki

Bíró

et al. 2011

Elektrotech. Inftech.

View full text Add to dashboard Cite

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Alternator Rotor Inter-turn Short-Circuit Identification using FEM Based Learning

Bacchus¹,

Biet²,

Macaire³

et al. 2015

IFAC-PapersOnLine

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International audienceThe goal of this paper is to identify rotor inter-turn short-circuits of an alternator. The detection method is based on the analysis of a flux probe signal located in the air gap of the machine. Previous works have shown that pattern recognition can be applied to detect such a fault by using the experimental data as prototypes. A new method is developed here by considering a learning step based on simulation. Therefore the machine is modeled and validated in that purpose. A feature selection is made by considering feature correlation and disparity. Finally, k nearest neighbors is used to classified experimental test data

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Comparison of supervised classification algorithms combined with feature extraction and selection: Application to a turbo-generator rotor fault detection

Bacchus

Biet

Macaire

et al. 2013

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)

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A three dimensional finite element analysis of the magnetic field in the end region of a synchronous generator

Cited by 9 publications

References 3 publications

Numerical simulation of the end-winding deformations in the synchronous machine under symmetrical short-circuit conditions using FEM*

Numerical simulation of the end-winding deformations in the synchronous machine under symmetrical short-circuit conditions using FEM*

Alternator Rotor Inter-turn Short-Circuit Identification using FEM Based Learning

Comparison of supervised classification algorithms combined with feature extraction and selection: Application to a turbo-generator rotor fault detection

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