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• W2046207518 abstract "This paper proposes a method for wind turbine mode identification using the Multivariable Output Error StateSpace (MOESP) identification algorithm. The paper incorporates a fast moving window QR decomposition and propagator method from array signal processing, yielding a moving window subspace identification algorithm. The algorithm assumes that the system order is known as a priori and remains constant during identification. For the purpose of extracting modal information for turbines modelled as a Linear Parameter Varying (LPV) system, the algorithm is applicable since a nonlinear system can be approximated as a piecewise time invariant system in consecutive data windows. The algorithm is exemplified using numerical simulations which show that the moving window algorithm can track the modal information. The paper also demonstrates that the low computational burden of the algorithm, compared to conventional batch subspace identification, has significant implications for online implementation." @default.
• W2046207518 created "2016-06-24" @default.
• W2046207518 creator A5005204143 @default.
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• W2046207518 date "2009-04-01" @default.
• W2046207518 modified "2023-09-27" @default.
• W2046207518 title "Modal extraction for wind turbines using moving window subspace identification" @default.
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• W2046207518 doi "https://doi.org/10.1109/supergen.2009.5348112" @default.
• W2046207518 hasPublicationYear "2009" @default.
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