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Noise Reduction Method and Time-Frequency Characteristics of Blasting Vibration Signals for High Slopes
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Lilin REN1, Yu HUANG2, Qingbin CAO1, Li HE2, Gangxian QI1, Yongming ZHAO2, Lujun CAI2, Dongwang ZHONG2, Linna LI2
Mining and Metallurgical Engineering | 2026, 46(4) : 27 - 35
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Mining and Metallurgical Engineering | 2026, 46(4): 27-35
• MINING •
Noise Reduction Method and Time-Frequency Characteristics of Blasting Vibration Signals for High Slopes
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Lilin REN1, Yu HUANG2, Qingbin CAO1, Li HE2, Gangxian QI1, Yongming ZHAO2, Lujun CAI2, Dongwang ZHONG2, Linna LI2
Affiliations
  • 1.China Railway Guangzhou Engineering Bureau Group Municipal & Environmental Protection Engineering Co., Ltd., Xi'an 712000, Shaanxi, China
  • 2.Hubei Intelligent Blasting Engineering Technology Research Center, Wuhan University of Science and Technology, Wuhan 430065, Hubei, China
doi: 10.3969/j.issn.0253-6099.2026.04.004
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When drilling and blasting are adopted for excavation of high slopes, blasting-induced vibration signals are susceptible to noise interference and their effective features are difficult to extract accurately, a noise reduction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) combined with wavelet threshold is proposed. Blasting vibration signals are reprocessed based on mean ratio (MR), sample entropy, and correlation coefficient. The proposed method is verified by simulated and field measured blasting vibration signals. The simulation results show that the signal-to-noise ratio (SNR) of the proposed method reaches 27.80 dB and the root-mean-square error (RMSE) is 0.209 1, presenting a superior noise-reduction performance compared to the other four methods. Engineering application results indicate that this proposed method can effectively suppress high-frequency noise and improve the resolution and stability of time-frequency analysis for blasting vibration signals. Further analysis reveals that the dominant frequency of blasting vibration signals is mainly within the range of 10-60 Hz with energy concentrated within 16-125 Hz; the dominant frequency of rockfall impact signals is mostly in the range of 40-720 Hz with more complex spectral structures, and its energy is mainly distributed in 62-1 000 Hz.

high slope  /  blasting-induced vibration signal  /  blasting signal  /  vibration signal  /  CEEMDAN  /  wavelet noise reduction  /  signal noise reduction  /  time-frequency characteristics
任李林, 黄宇, 曹庆彬, 何理, 齐刚宪, 赵永明, 蔡路军, 钟冬望, 李琳娜. 高边坡爆破振动信号降噪方法及时频特征研究. 矿冶工程杂志, 2026 , 46 (4) : 27 -35 . DOI: 10.3969/j.issn.0253-6099.2026.04.004
Lilin REN, Yu HUANG, Qingbin CAO, Li HE, Gangxian QI, Yongming ZHAO, Lujun CAI, Dongwang ZHONG, Linna LI. Noise Reduction Method and Time-Frequency Characteristics of Blasting Vibration Signals for High Slopes[J]. Mining and Metallurgical Engineering, 2026 , 46 (4) : 27 -35 . DOI: 10.3969/j.issn.0253-6099.2026.04.004
Appendix
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Year 2026 volume 46 Issue 4
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Article Info
doi: 10.3969/j.issn.0253-6099.2026.04.004
  • Receive Date：2026-03-21
  • Online Date：2026-10-08
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  • Received：2026-03-21
Funding
Affiliations
    1.China Railway Guangzhou Engineering Bureau Group Municipal & Environmental Protection Engineering Co., Ltd., Xi'an 712000, Shaanxi, China
    2.Hubei Intelligent Blasting Engineering Technology Research Center, Wuhan University of Science and Technology, Wuhan 430065, Hubei, China
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https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2026.04.004
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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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