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.
leithead_wind_rotoraccel.pdf - Accepted Author Manuscript
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)|
|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|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||25 Jul 2011 11:35|
|Last modified:||22 Jan 2017 08:44|