Wind turbine generator condition-monitoring using temperature trend analysis

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Guo, Peng and Infield, David and Yang, Xiyun (2012) Wind turbine generator condition-monitoring using temperature trend analysis. IEEE Transactions on Sustainable Energy, 3 (1). pp. 124-133. ISSN 1949-3037 (https://doi.org/10.1109/TSTE.2011.2163430)

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Abstract

Condition monitoring can greatly reduce the maintenance cost for a wind turbine. In this paper, a new condition-monitoring method based on the nonlinear state estimate technique for a wind turbine generator is proposed. The technique is used to construct the normal behavior model of the electrical generator temperature. A new and improved memory matrix construction method is adopted to achieve better coverage of the generator's normal operational space. Generator incipient failure is indicated when the residuals between model estimates and the measured generator temperature become significant. Moving window averaging is used to detect statistically significant changes of the residual mean value and standard deviation in an effective manner; when these parameters exceed predefined thresholds, an incipient failure is flagged. Examples based on data from the Supervisory Control and Data Acquisition system at a wind farm located at Zhangjiakou in northern China have been used to validate the approach and examine its sensitivity to key factors that influence the performance of the approach. It is demonstrated that the technique can identify dangerous generator over temperature before damage has occurred that results in complete shutdown of the turbine.

  • Item type:Article
    ID code:43155
    Dates:
    Date
    Event
    31 January 2012
    Published
    1 August 2011
    Published Online
    Notes:© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Mar 2013 11:15
    Last modified:19 Dec 2024 18:45
    URI:https://strathprints.strath.ac.uk/id/eprint/43155
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