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Seismic Signal Analysis Based on Adaptive Variational Mode Decomposition for High-speed Rail Seismic Waves

文献类型：期刊论文

作者Lei, Yang4; Liu, Lu1; Bai, Wen-lei2; Feng, Hai-xin3; Wang, Zhi-yang4
刊名APPLIED GEOPHYSICS
出版日期2023-12-02
页码14
关键词High-speed rail seismic signal Variational mode decomposition (VMD) Optimization algorithm Time-frequency analysis
ISSN号1672-7975
DOI10.1007/s11770-023-1034-y
英文摘要High-speed rails with determined length and load run for long periods at almost uniform speeds along fixed routes, constituting a new stable and repeatable artificial seismic source. Studies have demonstrated the wide bands and discrete spectra of high-speed rail seismic signals. Exploring the abundant information contained in massive high-speed rail seismic signals has great application value in the safety monitoring of high-speed rail operation and subgrade. However, given the complex environment around the rail network system, field data contain not only high-speed rail seismic waves but also ambient noise and the noise generated by various human activities. The foundation and key to effectively using high-speed rail seismic signals is to extract them from field data. In this paper, we propose an adaptive variational mode decomposition (VMD)-based separation algorithm for high-speed rail seismic signals. The optimization algorithm is introduced to VMD, and sample entropy and energy difference are used to construct the fitness function for the optimal adjustment of the mode number and penalty factor. Furthermore, time-frequency analysis is performed on the extracted high-speed rail signals and field data using the synchrosqueezed wavelet transform (SSWT). After verifying the processing of simulated signals, the proposed method is applied to field data. Results show that the algorithm can effectively extract high-speed rail seismic signals and eliminate other ambient noises, providing a basis for the imaging and inversion of high-speed rail seismic waves.
WOS关键词TRAIN ; VIBRATIONS ; PASSAGE
资助项目"HYXD" national projects[A2309002] ; "HYXD" national projects[XJZ2023050044] ; "HYXD" national projects[XJZ2023070052]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:001117776700001
出版者SPRINGER
资助机构"HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects ; "HYXD" national projects
源URL[http://ir.iggcas.ac.cn/handle/132A11/111520]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Wang, Zhi-yang
作者单位1.Aramco Asia, Aramco Beijing Res Ctr, Beijing 100102, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
3.China Elect Technol Grp Co, Res Inst 3, Beijing 100015, Peoples R China
4.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Lei, Yang,Liu, Lu,Bai, Wen-lei,et al. Seismic Signal Analysis Based on Adaptive Variational Mode Decomposition for High-speed Rail Seismic Waves[J]. APPLIED GEOPHYSICS,2023:14.
APA Lei, Yang,Liu, Lu,Bai, Wen-lei,Feng, Hai-xin,&Wang, Zhi-yang.(2023).Seismic Signal Analysis Based on Adaptive Variational Mode Decomposition for High-speed Rail Seismic Waves.APPLIED GEOPHYSICS,14.
MLA Lei, Yang,et al."Seismic Signal Analysis Based on Adaptive Variational Mode Decomposition for High-speed Rail Seismic Waves".APPLIED GEOPHYSICS (2023):14.

入库方式： OAI收割

来源：地质与地球物理研究所

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