Loughborough University
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Stator winding fault diagnosis in synchronous generators for wind turbine applications

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conference contribution
posted on 2016-10-25, 13:53 authored by Raed Ibrahim, Simon Watson
Wind turbine manufacturers have introduced to the market a variety of innovative concepts and configurations for generators to maximize energy capture, reduce costs and improve reliability of wind energy. For the purpose of improving reliability and availability, a number of diagnostic methods have been developed. Stator current signature analysis (SCSA) is potentially an effective technique to diagnose faults in electrical machines, and could be used to detect and diagnose faults in wind turbines. In this study, an investigation was conducted into the application of SCSA to detect stator inter-turn faults in an excited synchronous generator and a permanent magnet synchronous generator. It was found from simulation results that, owing to disruption of magnetic field symmetry and imbalance between the current flowing in the shorted turn and the corresponding diametrically opposite turn in the winding, certain harmonic components in the stator current clearly increased as the number of shorted turns increased. The findings are helpful to detect faults involving only a few turns without ambiguity, in spite of the difference in the configuration of the generators. As expected, because of the different type, configuration and operational condition of the two generators studied, detecting faults through the generator current signature requires a particular approach for each generator type.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Conference on Renewable Power Generation (RPG 2016 )


IBRAHIM, R.K. and WATSON, S.J., 2016. Stator winding fault diagnosis in synchronous generators for wind turbine applications. Presented at the International Conference on Renewable Power Generation (RPG 2016 ), IET London: Savoy Place, UK, 21-23rd Sept.




  • AM (Accepted Manuscript)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This paper is a preprint of a paper presented at the 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016) and is subject to Institution of Engineering and Technology Copyright. When the final version is published, the copy of record will be available at IET Digital Library


  • en


IET London: Savoy Place, UK