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  • 标题:Non-Stationary Wind Pressure Prediction Based on A Hybrid Decomposition Algorithm of Wavelet Packet Decomposition and Variational Mode Decomposition
  • 作者:Mengya Jin ; Chunxiang Li
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:189
  • 期号:5
  • 页码:052038
  • DOI:10.1088/1755-1315/189/5/052038
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:A hybrid decomposition algorithm is proposed for wind pressure prediction on structures based on wavelet packet decomposition (WPD), unit root test, and variational mode decomposition (VMD). In the proposed hybrid decomposition, the wavelet packet decomposition is employed to drop intermittent of the wind pressure. Then, the unit root test is adopted to ensure the stationary of the decomposed subseries. For the non-stationary subseries, the variational mode decomposition is employed to further decrease intermittent of the subseries. For the rest of the stationary subseries, they are reconstructed by frequency, which can be divided into high frequency, middle frequency and low frequency. Finally, the prediction process is established by the extreme learning machine (ELM). The three cases forecasting results indicated that: the proposed decomposition algorithm has the best forecasting accuracy compared to the relative decomposition methods.
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