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Novel early warning fault detection for wind-turbine-based DG systems

Ma, Xiandong (2012) Novel early warning fault detection for wind-turbine-based DG systems. In: Proceedings of 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe). IEEE, pp. 1-6. ISBN 978-1-4577-1422-1

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Abstract

This paper will study condition monitoring signals of a distributed generation (DG) system not only due to the mechanical and electrical faults inside the wind turbines but also due to the grid system fluctuations. A novel feature extraction and characterisation method based on singularity detection of the monitoring data will be presented, aiming to identify the abnormal events and fault conditions as early as possible. The algorithm used to calculate Lipschitz values is given in the paper and efficient processing and storage of monitoring data is also discussed. The preliminary research has produced promising results.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: Condition monitoring ; distributed generation ; wind turbine ; Lipschitz exponent ; feature extraction ; data mining and fusion
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: Faculty of Science and Technology > Engineering
ID Code: 59371
Deposited By: ep_importer_pure
Deposited On: 22 Oct 2012 09:45
Refereed?: No
Published?: Published
Last Modified: 24 Jan 2014 06:05
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/59371

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