Home Journals Articles Updates About
CN
image
收藏切换
Efficient impact load identification method using empirical mode decomposition
收藏切换
PDF
Ling LIU, Xiaoming YANG, Li ZHANG
Journal of Mechanical Strength | 2025, 47(8) : 82 - 90
Less
收藏切换
Journal of Mechanical Strength | 2025, 47(8): 82-90
• Experimental Research·Testing Technology •
Efficient impact load identification method using empirical mode decomposition
Full
Ling LIU, Xiaoming YANG, Li ZHANG
Affiliations
  • College of Intelligent Manufacturing, Jingchu University of Technology, Jingmen 448000, China
Published: 2025-08-15 doi: 10.16579/j.issn.1001.9669.2025.08.010
Outline
收藏切换

Aiming at the problems of traditional impact load identification methods, such as the requirement for a large number of sensors, high sampling frequency, and low identification accuracy, a new impact load identification method based on empirical mode decomposition (EMD) technology was proposed.The EMD technology was used to decompose the complete impact response to obtain the modal acceleration response. The impact location was quickly realized by measuring the collinearity between the uncorrected mode shape vector and the column vector of the mode shape matrix in the modal acceleration response. According to the positioning results, an optimization objective function was constructed. The time history of the impact load was fitted by using the Gaussian basis function, and the optimal fitting parameters were quickly solved by using the two-dimensional gradient descent method.Tests conducted on a cantilever plate with dimensions of 600 mm×200 mm×3 mm show that with only one accelerometer, the success rate of 36 impact positioning tests is 91.67%. The peak relative error and relative error index of the reconstruction results are less than 10% and 40%, respectively.

Impact load identification  /  Empirical mode decomposition  /  Modal acceleration response  /  Uncorrected mode vector  /  Basis function fitting
Ling LIU, Xiaoming YANG, Li ZHANG. Efficient impact load identification method using empirical mode decomposition[J]. Journal of Mechanical Strength, 2025 , 47 (8) : 82 -90 . DOI: 10.16579/j.issn.1001.9669.2025.08.010
Funding
Less
  • Natural Science Foundation of Hubei Province(2025AFC005)
  • Jingmen Major Science and Technology Innovation Plan Project(2024ZDYF004)
  • Jingmen Science and Technology Plan Project(2024YDKY233)
  • Jingchu University of Technology Doctoral Startup Fund Project(YY202444)
Appendix
Less
Year 2025 volume 47 Issue 8
PDF
67
32
Cite this Article
BibTeX
Article Info
doi: 10.16579/j.issn.1001.9669.2025.08.010
  • Receive Date：2024-12-19
  • Online Date：2026-03-19
  • Published：2025-08-15
Article Data
Affiliations
History
  • Received：2024-12-19
  • Revised：2025-02-24
Funding
Natural Science Foundation of Hubei Province(2025AFC005)
Jingmen Major Science and Technology Innovation Plan Project(2024ZDYF004)
Jingmen Science and Technology Plan Project(2024YDKY233)
Jingchu University of Technology Doctoral Startup Fund Project(YY202444)
Affiliations
    College of Intelligent Manufacturing, Jingchu University of Technology, Jingmen 448000, China

Corresponding:

ZHANG Li, E-mail：
References
Share
https://castjournals.cast.org.cn/joweb/jxqd/EN/10.16579/j.issn.1001.9669.2025.08.010
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