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Wind turbine rotor acceleration : identification using Gaussian regression

Leithead, W.E. and Dominguez, S. (2005) Wind turbine rotor acceleration : identification using Gaussian regression. In: Proceedings of International Conference on Informatics in Control, Automation, 2005-09-14 - 2005-09-17, Barcelona.

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    Abstract

    Gaussian processes prior model methods for data analysis are applied to wind turbine time series data to identify both rotor speed and rotor acceleration from a poor measurement of rotor speed. In so doing, two issues are addressed. Firstly, the rotor speed is extracted from a combined rotor speed and generator speed measurement. A novel adaptation of Gaussian process regression based on two independent processes ratherthan a single process is presented. Secondly, efficient algorithms for the manipulation of large matrices are required. The Toeplitz nature of the matrices is exploited to derive novel fast algorithms for the Gaussian process methodology that are memory efficient.

    Item type: Conference or Workshop Item (Paper)
    ID code: 11970
    Keywords: gaussian regression, wind turbines, Electrical engineering. Electronics Nuclear engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 25 Jul 2011 12:35
      Last modified: 17 Jul 2013 15:06
      URI: http://strathprints.strath.ac.uk/id/eprint/11970

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