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

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 22/06/2018, Accepted 27/07/2018, Published 22/01/2019

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.

Inspec keywords: Monte Carlo methods; sampling methods; electric machines; machine windings; stochastic processes

Other keywords: stochastic modelling; circuit model; Monte Carlo analysis; random-wound electrical machines; high circulating current losses; improved sampling algorithm

Subjects: Monte Carlo methods; d.c. machines; a.c. machines

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