Home Journals Articles Updates About
CN
image
收藏切换
Time-frequency Analysis of Blasting Seismic Signals based on CEEMDAN·MPE-NHT
收藏切换
PDF
Miao SUN1, 2a, Jing WU2a, 3, Li WU2b, Jun-kai YANG1, Ya-nan QIN1
Blasting | 2023, 40(4) : 183 - 191
Less
收藏切换
Blasting | 2023, 40(4): 183-191
• BLASTING SAFETY •
Time-frequency Analysis of Blasting Seismic Signals based on CEEMDAN·MPE-NHT
Full
Miao SUN1, 2a, Jing WU2a, 3, Li WU2b, Jun-kai YANG1, Ya-nan QIN1
Affiliations
  • 1.College of environment and Engineering, Hubei Land Resources Vocational College, Wuhan 430090, China
  • 2a.Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education, China University of Geosciences, Wuhan 430074, China
  • 2b.Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
  • 3.Faculty of Civil Engineering, Hubei Engineering University, Xiaogan 432000, China
Published: 2023-12-01 doi: 10.3963/j.issn.1001-487X.2023.04.024
Outline
收藏切换

Distortion phenomenon would occur in time-frequency analysis when Hilbert-Huang Transform (HHT) is used to process the blasting seismic signal mixed with noise. In order to improve the analysis performance for noisy blasting seismic signals, the factors affecting the accuracy of time-frequency analysis of HHT were improved through an improved algorithm. Firstly, the empirical mode decomposition (EMD) was improved by the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to suppress the low-frequency trend terms. Furthermore, the multiscale permutation entropy (MPE) code was added to control the high-frequency noise. Finally, the normalized Hilbert transform (NHT) was performed on the IMFs obtained by CEEMDAN·MPE. Through the above three steps, the problem of insufficient precision in the time-frequency analysis of noisy blasting seismic signals by the traditional HHT can be improved. In order to verify the accuracy of the CEEMDAN·MPE-NHT algorithm, a comparative study on the HHT and CEEMDAN·MPE-NHT algorithm was carried out, and the CEEMDAN·MPE-NHT algorithm was used for underwater drilling blasting seismic signals. The results show that the time-frequency spectrum of the IMF decomposed by CEEMDAN·MPE and processed by NHT has a greatly improved high resolution compared with HHT in both time and frequency domain. The research results can be used for identifying and controlling the hazards of blasting seismic waves.

blasting seismic signal  /  empirical mode decomposition  /  Hilbert transform  /  intrinsic mode function
Miao SUN, Jing WU, Li WU, Jun-kai YANG, Ya-nan QIN. Time-frequency Analysis of Blasting Seismic Signals based on CEEMDAN·MPE-NHT[J]. Blasting, 2023 , 40 (4) : 183 -191 . DOI: 10.3963/j.issn.1001-487X.2023.04.024
Funding
Less
  • National Natural Science Foundation of China(41672260)
  • Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education(202215; 202208)
Appendix
Less
Year 2023 volume 40 Issue 4
PDF
86
37
Cite this Article
BibTeX
Article Info
doi: 10.3963/j.issn.1001-487X.2023.04.024
  • Receive Date：2022-08-05
  • Online Date：2026-03-19
  • Published：2023-12-01
Article Data
Affiliations
History
  • Received：2022-08-05
Funding
National Natural Science Foundation of China(41672260)
Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education(202215; 202208)
Affiliations
    1.College of environment and Engineering, Hubei Land Resources Vocational College, Wuhan 430090, China
    2a.Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, Ministry of Education, China University of Geosciences, Wuhan 430074, China
    2b.Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
    3.Faculty of Civil Engineering, Hubei Engineering University, Xiaogan 432000, China

Corresponding:

WU Jing (1985-), female, associate professor, mainly engaged in research on disaster prevention and reduction in civil engineering, (E-mail) .
References
Share
https://castjournals.cast.org.cn/joweb/bp/EN/10.3963/j.issn.1001-487X.2023.04.024
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House