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Noise Reduction of Blasting Vibration Signal Based on ITD - K-means - Wavelet Packet Method
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Yuzhou SHEN1, Yunpeng ZHANG2, 3, Haiyue MA2
Mining and Metallurgical Engineering | 2026, 46(1) : 44 - 50
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Mining and Metallurgical Engineering | 2026, 46(1): 44-50
• MINING •
Noise Reduction of Blasting Vibration Signal Based on ITD - K-means - Wavelet Packet Method
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Yuzhou SHEN1, Yunpeng ZHANG2, 3, Haiyue MA2
Affiliations
  • 1.School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
  • 2.College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
  • 3.Hebei Provincial Key Laboratory of Mining Development and Safety Technology, Tangshan 063210, Hebei, China
doi: 10.3969/j.issn.0253-6099.2026.01.007
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For solving noise interference in the measured blasting vibration signals, a noise reduction technique is proposed. Based on the Intrinsic Time-Scale Decomposition (ITD) algorithm, the signal is firstly decomposed into several Intrinsic Mode Functions (IMFs). And the K-means clustering is then used to calculate the correlation coefficient value for identifying the types of signal with noise. The wavelet packet method is used to denoise and reconstruct the types of signal with noise, so as to obtain desired signal. This technique was used to verify the noise reduction effect for both simulated and measured signals. The results show that in the noise reduction test for simulated signals, the ITD - K-means - wavelet packet method can achieve the highest signal-to-noise ratio (17.241 dB) and the smallest root mean square error (9.71×10-2), compared with the traditional wavelet packet method, the CEEMDAN method and the ITD method. The noise reduction test for measured signals shows that after processing with the ITD - K-means - wavelet packet method, the signal in the low-to-medium frequency band (0-60 Hz) can retain more energy of dominant frequency, thus high-frequency noise (>120 Hz) can be effectively suppressed.

blasting  /  vibration signal  /  noise reduction  /  Intrinsic Time Scale Decomposition (ITD)  /  K-means algorithm  /  wavelet packet method  /  signal-to-noise ratio  /  simulated signal
申宇宙, 张云鹏, 马海越. 基于ITD - K-means -小波包法的爆破振动信号降噪研究. 矿冶工程杂志, 2026 , 46 (1) : 44 -50 . DOI: 10.3969/j.issn.0253-6099.2026.01.007
Yuzhou SHEN, Yunpeng ZHANG, Haiyue MA. Noise Reduction of Blasting Vibration Signal Based on ITD - K-means - Wavelet Packet Method[J]. Mining and Metallurgical Engineering, 2026 , 46 (1) : 44 -50 . DOI: 10.3969/j.issn.0253-6099.2026.01.007
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Year 2026 volume 46 Issue 1
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Article Info
doi: 10.3969/j.issn.0253-6099.2026.01.007
  • Receive Date：2025-08-20
  • Online Date：2026-10-08
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  • Received：2025-08-20
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Affiliations
    1.School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
    2.College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
    3.Hebei Provincial Key Laboratory of Mining Development and Safety Technology, Tangshan 063210, Hebei, China
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