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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9616

Title: Condition monitoring of the power output of wind turbine generators using wavelets
Authors: Watson, Simon J.
Xiang, Jianping
Yang, Wenxian
Tavner, Peter J.
Crabtree, Christopher J.
Keywords: Condition monitoring
Electrical generator
Signal processing
Wind energy
Wind turbines
Issue Date: 2010
Publisher: © IEEE
Citation: WATSON, S.J. ... et al., 2010. Condition monitoring of the power output of wind turbine generators using wavelets. IEEE Transactions on Energy Conversion, 25 (3), pp. 715 - 721
Abstract: With an increasing number of wind turbines being erected offshore, there is a need for cost-effective, predictive, and proactive maintenance. A large fraction of wind turbine downtime is due to bearing failures, particularly in the generator and gearbox. One way of assessing impending problems is to install vibration sensors in key positions on these subassemblies. Such equipment can be costly and requires sophisticated software for analysis of the data. An alternative approach, which does not require extra sensors, is investigated in this paper. This involves monitoring the power output of a variable-speed wind turbine generator and processing the data using a wavelet in order to extract the strength of particular frequency components, characteristic of faults. This has been done for doubly fed induction generators (DFIGs), commonly used in modern variable-speed wind turbines. The technique is first validated on a test rig under controlled fault conditions and then is applied to two operational wind turbine DFIGs where generator shaft misalignment was detected. For one of these turbines, the technique detected a problem 3 months before a bearing failure was recorded.
Description: This article was published in the journal, IEEE Transactions on Energy Conversion [© IEEE]. The definitive version is available at: http://dx.doi.org/10.1109/TEC.2010.2040083
Sponsor: This work was funded in part by the European Commission under the CONMOW project, contract ENK5-CT- 2002-00659.
Version: Accepted for publication
DOI: 10.1109/TEC.2010.2040083
URI: https://dspace.lboro.ac.uk/2134/9616
Publisher Link: http://dx.doi.org/10.1109/TEC.2010.2040083
ISSN: 0885-8969
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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