Name
Title | ||
|---|---|---|
Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices. |
Abstract | ||
|---|---|---|
Disruptive innovations in electrical machine design optimization are observed in this paper, motivated by emerging trends. Improvements in mathematics and computer science enable more detailed optimization scenarios that cover evermore aspects of physics. In the past, electrical machine design was equivalent to investigating the electromagnetic performance. Nowadays, thermal, rotor dynamics, power... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2018.2801805 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Optimization,Rotors,Induction motors,Permanent magnet motors,Reliability,Search problems | Particle swarm optimization,Industrial engineering,Evolutionary computation,Multi-objective optimization,Robustness (computer science),Control engineering,Engineering,Optimization problem,Genetic algorithm,Metamodeling,Goal setting | Journal |
Volume | Issue | ISSN |
65 | 10 | 0278-0046 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerd Bramerdorfer | 1 | 55 | 5.92 |
| Juan A. Tapia | 2 | 28 | 6.98 |
| Juha J. Pyrhönen | 3 | 91 | 12.51 |
| andrea cavagnino | 4 | 138 | 23.71 |