A polynomial chaos meta‐model for non‐linear stochastic magnet variations

DOI10.1108/03321641311317031zbMath1358.78066OpenAlexW2038517625MaRDI QIDQ2970615

Peter Offermann, Kay Hameyer

Publication date: 30 March 2017

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321641311317031

zbMATH Keywords

finite element methodmanufacturing systemsMonte Carlo methodsMonte Carlo simulationstochasticsmagnetismmanufacturing tolerancesmagnet variationsmagnetic flux-density deviations

Mathematics Subject Classification ID

Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory (78M10)

Related Items (4)

A polynomial chaos meta‐model for non‐linear stochastic magnet variations ⋮ A certified model reduction approach for robust parameter optimization with PDE constraints ⋮ Model Order Reduction for Rotating Electrical Machines ⋮ An approach for robust PDE-constrained optimization with application to shape optimization of electrical engines and of dynamic elastic structures under uncertainty

Cites Work

• A polynomial chaos meta‐model for non‐linear stochastic magnet variations
• Influence and evaluation of non‐ideal manufacturing process on the cogging torque of a permanent magnet excited synchronous machine

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