Abstract
Random-wound electrical machines often suffer from high circulating current losses. These losses vary from machine to machine in a stochastic fashion. This study proposes an improved sampling algorithm for quantifying the uncertainty inherent in random windings. The algorithm is then combined with a circuit model to perform Monte Carlo analysis on the losses. The results are compared to measurements, and a good agreement is observed.
| Original language | English |
|---|---|
| Pages (from-to) | 3976-3980 |
| Number of pages | 5 |
| Journal | The Journal of Engineering |
| Issue number | 17 |
| DOIs | |
| Publication status | Published - 17 Jun 2019 |
| MoE publication type | A1 Journal article-refereed |
Funding
The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 339380.
Keywords
- stochastic processes
- electric machines
- Monte Carlo methods
- machine windings
- sampling methods
- improved sampling algorithm
- stochastic modelling
- random-wound electrical machines
- high circulating current losses
- circuit model
- Monte Carlo analysis
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