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Research on Filtering Algorithms for Signals Collected in Explosion Experiments
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De-zheng ZHOU1, Xiao-jie LI1, 2, Yu-xin WANG1, 2, Jian WANG1, Hong-hao YAN1, 2, Xiao-hong WANG1, 2
Blasting | 2023, 40(3) : 191 - 198
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Blasting | 2023, 40(3): 191-198
• BLASTING SAFETY •
Research on Filtering Algorithms for Signals Collected in Explosion Experiments
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De-zheng ZHOU1, Xiao-jie LI1, 2, Yu-xin WANG1, 2, Jian WANG1, Hong-hao YAN1, 2, Xiao-hong WANG1, 2
Affiliations
  • 1.Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China
  • 2.State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian 116024, China
Published: 2023-09-01 doi: 10.3963/j.issn.1001-487X.2023.03.026
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The experimental signals collected in explosion experiments are always mixed with different degrees of noise interference. In order to accurately analyze the variation laws conveyed by these signals, four sets of explosion experiments were designed with different charge amounts and vacuum environments in the vacuum explosion vessel. Then, the collected impact load data were analyzed by applying both Fourier filtering algorithm and median-averaged filtering algorithm. By comparing the P-t curves processed by the two filtering algorithms with the original ones, it is found that the Fourier filtering algorithm is a global analysis of the signal, which can extract the frequency information of the function in the whole frequency domain, while the characteristics of the signal cannot be revealed in a local time range. Although the processing speed is faster, the error for the characteristic parameters is larger, and the effect of the filtering process directly applied to test signals of the blast impact is less satisfactory. The fit degree between the signals of explosion impact processed by the median-averaged filtering algorithm and the original ones is higher, and the varying details of the impact load with time in the blast container can be clearly reflected with a smaller error and a higher reliability.

filtering processing  /  explosion experiment  /  Fourier algorithm  /  median-averaged algorithm  /  impact load
De-zheng ZHOU, Xiao-jie LI, Yu-xin WANG, Jian WANG, Hong-hao YAN, Xiao-hong WANG. Research on Filtering Algorithms for Signals Collected in Explosion Experiments[J]. Blasting, 2023 , 40 (3) : 191 -198 . DOI: 10.3963/j.issn.1001-487X.2023.03.026
Funding
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  • National Natural Science Foundation of China(11672067; 12072067)
Appendix
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Year 2023 volume 40 Issue 3
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Article Info
doi: 10.3963/j.issn.1001-487X.2023.03.026
  • Receive Date：2022-10-08
  • Online Date：2026-03-20
  • Published：2023-09-01
Article Data
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History
  • Received：2022-10-08
Funding
National Natural Science Foundation of China(11672067; 12072067)
Affiliations
    1.Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China
    2.State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian 116024, China

Corresponding:

LI Xiao-jie (1963-), male, Ph. D, professor, mainly engaged in theoretical research on explosion mechanics, impact dynamics, explosive processing and technical development of special blasting, (E-mail) .
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https://castjournals.cast.org.cn/joweb/bp/EN/10.3963/j.issn.1001-487X.2023.03.026
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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
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