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Lookup NU author(s): Dr Juchuan Dai, Dr Wenxian YangORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Ageing of a wind turbine and its components is inevitable. It will affect the reliability and power generation of the turbine over time. Therefore, performing the ageing assessment of wind turbines is of significance not only to optimize the operation and maintenance strategy of the wind turbine but also to improve the management of a wind farm. However, in contrast to the significant number of research on wind turbine condition monitoring and reliability analysis, little effort was made before to investigate the ageing led performance degradation issue of wind turbines over time. To fill such a technology gap, four SCADA-based wind turbine ageing assessment criteria are proposed in this paper for measuring the ageing resultant performance degradation of the turbine. With the aid of these four criteria, a reliable information fusion based wind turbine ageing assessment method is developed and verified in the end using the real wind farm SCADA data. It has been shown that the proposed method is effective and reliable in performing the ageing assessment of a wind turbine.
Author(s): Dai J, Yang W, Cao J, Liu D, Long X
Publication type: Article
Publication status: Published
Journal: Renewable Energy
Year: 2017
Volume: 116
Issue: Part B
Pages: 199-208
Print publication date: 01/02/2018
Online publication date: 31/03/2017
Acceptance date: 30/03/2017
Date deposited: 18/04/2017
ISSN (print): 0960-1481
ISSN (electronic): 1879-0682
Publisher: Pergamon Press
URL: https://doi.org/10.1016/j.renene.2017.03.097
DOI: 10.1016/j.renene.2017.03.097
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