Toggle Main Menu Toggle Search

Open Access padlockePrints

Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train

Lookup NU author(s): Dr Wenxian YangORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Some large grid connected wind turbines use a low-speed synchronous generator, directly coupled to the turbine, and a fully rated converter to transform power from the turbine to mains electricity. The condition monitoring and diagnosis of mechanical and electrical faults in such a machine are considered, bearing in mind that it has a slow variable speed and is subject to the stochastic, aerodynamic effects of the wind. The application of wavelet transforms is investigated in the light of the disadvantages of spectral analysis in processing signals subject to such stochastic effects. The technique can be used to monitor generator electrical and drive train mechanical faults. It is validated experimentally on a wind turbine condition monitoring test rig using a three-phase, permanent-magnet, slow-speed, synchronous generator, driven by a motor controlled by a model representing the aerodynamic forces from a wind turbine. The possibility of detecting mechanical and electrical faults in wind turbines by electrical signal and particularly power analysis is heralded.


Publication metadata

Author(s): Yang Wenxian, Tavner P, Wilkinson M

Publication type: Article

Publication status: Published

Journal: IET Renewable Power Generation

Year: 2009

Volume: 3

Issue: 1

Pages: 1-11

ISSN (print): 1752-1416

ISSN (electronic): 1752-1424

Publisher: IET

URL: http://dx.doi.org/10.1049/iet-rpg:20080006

DOI: 10.1049/iet-rpg:20080006


Altmetrics

Altmetrics provided by Altmetric


Share