ANALYSIS OF SIGNALS FROM WAVES AND WIND USING WAVELET TRANSFORM FOR RENEWABLE ENERGY

被引:0
|
作者
Ruiz, G. [1 ]
机构
[1] Univ Nacl Autonoma Mexico, Fac Ingn, Mexico City, DF, Mexico
关键词
wavelet; continuous wavelet transform; wave; wave energy; TURBULENCE;
D O I
暂无
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The use and rational exploitation, cost-effective and sustainable the maritime resources of a country requires the proper characterization of the maritime climate. Knowledge of wind, waves, tidal flows and currents presented in a zone is essential for the development of activities such as design, construction and maintenance of infrastructure maritime and port; operational in ports and marinas; determination of navigation routes; planning activities coast outside and civil protection among others. This characterization is appropriate, requires two fundamental activities: measurement in field of meteorological and oceanographic variables, and the development of numerical models that adequately validated allows it to be useful for the above-mentioned activities predictions. In marine engineering, the modeling of the waves has been one of the main lines of research; much of the efforts have guided the development of numerical models to reproduce the generation of the waves by the action of the wind and its spread to the coast. The present paper will discuss the development of the continuous applying the coscalogram representation for time series simultaneously acquired. One such tool is the Wavelet Transform (WT) that uses local orthogonal functions, that change in frequency and magnitude, which allows viewing the characteristics of the transitional local found in the signal.
引用
收藏
页码:7272 / 7276
页数:5
相关论文
共 50 条
  • [41] Time–Frequency–Wavenumber Analysis of Surface Waves Using the Continuous Wavelet Transform
    V. Poggi
    D. Fäh
    D. Giardini
    Pure and Applied Geophysics, 2013, 170 : 319 - 335
  • [42] Epileptic Seizure Detection from EEG Signals by Using Wavelet and Hilbert Transform
    Polat, Hasan
    Ozerdem, Mehmet Sirac
    2016 XII INTERNATIONAL CONFERENCE ON PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2016, : 66 - 69
  • [43] Fouling Detection Based on Analysis of Ultrasonic Guided Waves Using Wavelet Transform
    Silva, J. J.
    Silva, K. M.
    Lima, A. M. N.
    Rocha Neto, J. S.
    2008 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-5, 2008, : 1093 - 1097
  • [44] Myographic Interference Filtering from ECG Signals Using Multiresolution Wavelet Transform
    Fedotov, A. A.
    BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2019, 52 (05): : 344 - 347
  • [45] Myographic Interference Filtering from ECG Signals Using Multiresolution Wavelet Transform
    A. A. Fedotov
    Biomedical Engineering, 2019, 52 : 344 - 347
  • [46] The optimisation of wavelet transform for the impulse analysis in vibration signals
    Schukin, EL
    Zamaraev, RU
    Schukin, LI
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2004, 18 (06) : 1315 - 1333
  • [47] Application of wavelet transform to the analysis of signals with pulsed components
    Slesarev, DA
    Barat, VA
    MEASUREMENT TECHNIQUES, 2000, 43 (08) : 696 - 699
  • [48] Analysis of EMG signals by means of the matched wavelet transform
    Laterza, F
    Olmo, G
    ELECTRONICS LETTERS, 1997, 33 (05) : 357 - 359
  • [49] Extraction of signals from white and colored noise using the discrete wavelet transform
    Perov, DV
    Rinkevich, AB
    ACOUSTICAL PHYSICS, 2005, 51 (04) : 443 - 448
  • [50] Extraction of signals from white and colored noise using the discrete wavelet transform
    D. V. Perov
    A. B. Rinkevich
    Acoustical Physics, 2005, 51 : 443 - 448