An Unsupervised Learning Approach to Condition Assessment on a Wound-Rotor Induction Generator

Accurate online diagnosis of incipient faults and condition assessment on generators is especially challenging to automate through supervised learning techniques, because of data imbalance. Fault-condition training and test data are either not available or are experimentally emulated, and therefore...

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Bibliographic Details

Published in:	Energies
Main Authors:	Elsie Swana, Wesley Doorsamy
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Subjects:	unsupervised learning wound-rotor induction generator incipient fault condition assessment predictive maintenance
Online Access:	https://www.mdpi.com/1996-1073/14/3/602