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Effect of power converter on condition monitoring and fault detection for wind turbine

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conference contribution
posted on 25.10.2016, 13:26 by Raed Ibrahim, Simon Watson
This paper investigates the impact of power electronics converter when attempting wind turbine condition monitoring system and fault diagnosis by the analysis of fault signatures in the electrical output of the turbine. A wind turbine model has been implemented in the MATLAB/Simulink environment. Fault signature analysis for electrical signals is presented. A signal processing algorithm based on a fast fourier transform is then used to potentially identify fault signatures. The results obtained with this model are validated with experimental data measured from a physical test rig. Through comparison between simulation data and experimental data it is concluded that the power converter has significantly reduced fault signatures from the electrical signal though not entirely extinguished them. It may still be possible to extract some fault information after the converter though this is much more challenging than upstream. Further work is needed to see whether it may be possible to modify the power converter particularly the filter design and the switching elements to avoid removing fault signatures from electrical signals without adding significant cost or compromising performance.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

Citation

IBRAHIM, R.K. and WATSON, S.J., 2016. Effect of power converter on condition monitoring and fault detection for wind turbine. Presented at the 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), Glasgow, UK, 19-21st April, pp. 6.

Publisher

IET

Version

AM (Accepted Manuscript)

Publisher statement

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/

Acceptance date

11/05/2016

Publication date

2016

Notes

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

ISBN

9781785611889

Language

en

Location

Glasgow, UK