Model order reduction for quasi-magnetostatic problems

• Published in: Compel Vol. 36; no. 6; pp. 1783 - 1791
• Main Authors: Xie, Yuqing, Li, Lin, Wang, Shuaibing
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 06.11.2017; Emerald Group Publishing Limited
• Subjects: Accuracy; Algorithms; Alternative energy sources; Applied mathematics; Approximation; Clustering; Computational efficiency; Computing time; Data compression; Decomposition; Efficiency; Eigenvalues; Eigenvectors; Electric power; Energy resources; Finite element analysis; Finite element method; Galerkin method; Mathematical models; Methods; Model accuracy; Model reduction; Nonlinear programming; Proper Orthogonal Decomposition; Reduced order models; Reduction; Tessellation; Centroidal Voronoi tessellation; Proper orthogonal decomposition; Model order reduction; Quasi-magnetostatic problems

Purpose To reduce the computational scale for quasi-magnetostatic problems, model order reduction is a good option. Reduced-order modelling techniques based on proper orthogonal decomposition (POD) and centroidal Voronoi tessellation (CVT) have been used to solve many engineering problems. The purpo...