A Wavelet Dictionary-Based Compressive Sensing Method for Reconstruction of Wind Speed Data

被引：0
|
作者：
Zhu, Yikai [1 ,2 ]
Yu, Zhefan [1 ,2 ]
Chen, Anni [1 ,2 ]
Wan, Huaping [1 ,2 ]
机构：
[1] Key Laboratory of Concrete and Pre-stressed Concrete Structures of Ministry of Education, Southeast University, Nanjing,211189, China
[2] College of Civil Engineering and Architecture, Zhejiang University, Hangzhou,310058, China
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2024年 / 44卷 / 04期
关键词：
Signal reconstruction - Wind effects - Wind speed;
D O I：
10.16450/j.cnki.issn.1004-6801.2024.04.008
中图分类号：
学科分类号：
摘要：
Wind speed is usually non-stationary and not naturally sparse. The commonly used dictionary for the compressed sensing（CS）method is not effective for the reconstruction of the wind speed signals. In this paper，the wavelet dictionary is introduced to improve the sparsity of wind speed signals and effectively enhance the ac- curacy of the reconstructed signal. The effectiveness of this method is verified using both wind speed simulation data and monitored wind speed data of Canton Tower. The effects of data missing scenarios，regularization pa- rameters，wavelet dictionary layers，and wavelet types on the reconstruction performance of the CS method are explored in detail. The results show that the wavelet dictionary-based CS method has high accuracy in recon- structing the missing wind speed signals. © 2024 Nanjing University of Aeronautics an Astronautics. All rights reserved.
引用
收藏
页码：684 / 689
相关论文
共 50 条
  • [41] DICTIONARY-BASED FUSION OF CONTACT AND ACOUSTIC MICROPHONES FOR WIND NOISE REDUCTION
    Tammen, Marvin
    Li, Xilin
    Doclo, Simon
    Theverapperuma, Lalin
    2022 INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC 2022), 2022,
  • [42] Wind Speed Forecast for Wind Farms Based on Phase Space Reconstruction of Wavelet Neural Network
    Xu, Xiaobing
    He, Jun
    Wang, Jianping
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 840 - 845
  • [43] Dictionary-based software for proton dose reconstruction and submilimetric range verification
    Onecha, V. V.
    Galve, P.
    Ibanez, P.
    Freijo, C.
    Arias-Valcayo, F.
    Sanchez-Parcerisa, D.
    Espana, S.
    Fraile, L. M.
    Udias, J. M.
    PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67 (04):
  • [44] The Overcomplete Dictionary-Based Directional Estimation Model and Nonconvex Reconstruction Methods
    Lin, Leping
    Liu, Fang
    Jiao, Licheng
    Yang, Shuyuan
    Hao, Hongxia
    IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (03) : 1042 - 1053
  • [45] DICTIONARY-BASED DATA HIDING USING IMAGE HASHING STRATEGY
    Qin, Chuan
    Chang, Chin-Chen
    Tsou, Pei-Ling
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (02): : 599 - 610
  • [46] Compressive sensing based routing and data reconstruction scheme for IoT based WSNs
    Aziz, Ahmed
    Singh, Karan
    Osamy, Walid
    Khder, Ahmed M.
    Le Minh Tuan
    Le Hoang Son
    Hoang Viet Long
    Rakhmonov, Dilshodjon
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (01) : 19 - 35
  • [47] Statistical wavelet-based anomaly detection in big data with compressive sensing
    Wang, Wei
    Lu, Dunqiang
    Zhou, Xin
    Zhang, Baoju
    Mu, Jiasong
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2013,
  • [48] Three key factors in seismic data reconstruction based on compressive sensing
    Wen R.
    Liu G.
    Ran Y.
    Liu, Guochang (guochang.liu@cup.edu.cn), 2018, Science Press (53): : 682 - 693
  • [49] Statistical wavelet-based anomaly detection in big data with compressive sensing
    Wei Wang
    Dunqiang Lu
    Xin Zhou
    Baoju Zhang
    Jiasong Mu
    EURASIP Journal on Wireless Communications and Networking, 2013
  • [50] Classification of Social Network Data Using a Dictionary-Based Approach
    Madani, Youness
    Erritali, Mohammed
    Bengourram, Jamaa
    CLOUD COMPUTING AND BIG DATA: TECHNOLOGIES, APPLICATIONS AND SECURITY, 2019, 49 : 202 - 219
12345