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

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

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...

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Bibliographic Details
Main Authors: Antti Lehikoinen, Nicola Chiodetto, Antero Arkkio, Anouar Belahcen
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:The Journal of Engineering
Subjects:
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
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8093

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8093

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