Improved sampling algorithm for stochastic modelling of random-wound electrical machines

Research output: Contribution to journalArticle

Researchers

Research units

  • Newcastle University

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.

Details

Original languageEnglish
Pages (from-to)3976-3980
Number of pages5
Journal The Journal of Engineering
Issue number17
Publication statusPublished - 17 Jun 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • 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

ID: 39090528