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Noise Reduction Analysis of Loosening Blasting Vibration Signal based on LMD-MFE-SVD
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Hong-min ZHOU1, Shi-cheng ZHAO1, Hui-zhen WANG1, Hui YU1, 2, Wen-hao LI1, Xian-tang ZHANG1, 2
Blasting | 2023, 40(4) : 174 - 182
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Blasting | 2023, 40(4): 174-182
• BLASTING SAFETY •
Noise Reduction Analysis of Loosening Blasting Vibration Signal based on LMD-MFE-SVD
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Hong-min ZHOU1, Shi-cheng ZHAO1, Hui-zhen WANG1, Hui YU1, 2, Wen-hao LI1, Xian-tang ZHANG1, 2
Affiliations
  • 1.Shandong Key Laboratory of Disaster Prevention and Mitigation of Civil Engineering, Shandong University of Science and Technology, Qingdao 266590, China
  • 2.Engineering Research Center of Underground Mine Construction, Ministry of Education, Anhui University of Science and Technology, Huainan 232001, China
Published: 2023-12-01 doi: 10.3963/j.issn.1001-487X.2023.04.023
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In order to improve the analysis accuracy of loosening blasting vibration signals, a hybrid denoising method based on local mean decomposition (LMD), multiscale fuzzy entropy (MFE), and singular value filtering (SVD) was established. Firstly, the vibration signal was decomposed by LMD method to obtain a series of product components (PF). Then, the blasting vibration signal was preliminarily denoised by calculating MFE and correlation coefficients. Finally, the real signal components were denoised and extracted by SVD filtering on the residual noise of the main PF components. The results show that the proposed LMD-MFE-SVD denoising method can effectively deal with the noisy PF components. For the simulated signal with multiple components with noise, the LMD algorithm is more efficient than the EMD algorithm. Furthermore, the signal-to-noise ratio (SNR), root mean square error (RMSE) and percentage of distortion (PRD) of the proposed LMD-MFE-SVD method are significantly improved by 11.73%, 22.07% and 9.25%, respectively, compared with the LMD algorithm, which indicates that the noise reduction efficiency is considerable. According to the waveform and spectrum comparison of the measured loosening blasting vibration signal after denoising by the proposed LMD-MFE-SVD method, the denoised signal waveform is more concentrated with most of the signal information retained. The frequency spectrum is clearer, and the signal frequency peaks are effectively displayed.

loosening blasting  /  denoising of vibration signal  /  LMD  /  MFE  /  SVD
Hong-min ZHOU, Shi-cheng ZHAO, Hui-zhen WANG, Hui YU, Wen-hao LI, Xian-tang ZHANG. Noise Reduction Analysis of Loosening Blasting Vibration Signal based on LMD-MFE-SVD[J]. Blasting, 2023 , 40 (4) : 174 -182 . DOI: 10.3963/j.issn.1001-487X.2023.04.023
Funding
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  • National Natural Science Foundation of China(51874189)
  • Project Supported by the Open Fund of the Engineering Research Center of Underground Mine Construction, Ministry of Education (Anhui University of Science and Technology) the Ministry of Education for Mining Underground Engineering in 2021(JYBGCZX2021102)
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Year 2023 volume 40 Issue 4
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77
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Article Info
doi: 10.3963/j.issn.1001-487X.2023.04.023
  • Receive Date：2022-11-22
  • Online Date：2026-03-19
  • Published：2023-12-01
Article Data
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History
  • Received：2022-11-22
Funding
National Natural Science Foundation of China(51874189)
Project Supported by the Open Fund of the Engineering Research Center of Underground Mine Construction, Ministry of Education (Anhui University of Science and Technology) the Ministry of Education for Mining Underground Engineering in 2021(JYBGCZX2021102)
Affiliations
    1.Shandong Key Laboratory of Disaster Prevention and Mitigation of Civil Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    2.Engineering Research Center of Underground Mine Construction, Ministry of Education, Anhui University of Science and Technology, Huainan 232001, China

Corresponding:

ZHANG Xian-tang (1973-), male, born in Jingxing, Hebei Province, professor, doctoral supervisor, mainly engaged in research on rock and soil structure dynamics and blasting engineering, (E-mail) .
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栓菌属 Trametes 5 2.39
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