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A wavelet-based method to generate artificial wind fluctuation data
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DOI：10.1016/S0167-6105(03)00037-0.png)
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A method using the inverse wavelet transform is proposed to generate artificial wind velocity fluctuations. At first, in order to investigate the time-scale structure of natural wind, the wavelet transform is applied to the time history of a measured wind velocity data. Taking the results into account, the wavelet-based method is constructed such that the created time history possesses the characteristics similar to those of the natural wind data. The time histories are in particular synthesized to have a target power spectrum and intermittency similar to measured time histories. The characteristics of the time histories produced with the proposed method are discussed. (C) 2003 Elsevier Science Ltd. All rights reserved.
Keyword:
natural wind
intermittency
wavelet
wind velocity fluctuation
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