Application of Low-Frequency Processing Method Based on VMD Algorithm in Blasting Signal Processing

被引:1
|
作者
Jia, Bei [1 ]
Li, Shenglin [1 ]
Liu, Dianshu [1 ]
Wu, Shuaifeng [2 ]
机构
[1] China Univ Min & Technol Beijing, Sch Resource & Safety Engn, Beijing 100083, Peoples R China
[2] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
关键词
VIBRATION;
D O I
10.1155/2022/5779714
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In the field of blasting vibration signal analysis, accurate removal of low-frequency noise in the signal has important practical significance. In view of the shortcomings of the existing methods, such as cumbersome calculation and limited scope of application, a method based on variational mode decomposition (VMD) to remove low-frequency noise was proposed. In this paper, the parameter selection of VMD algorithm to identify low-frequency noise of blasting signal is optimized by simulation experiment. The results show that frequency has little influence on the decomposition effect. When the frequency of low-frequency noise is between 0 and 5 Hz, the influence of frequency on the decomposition effect remains basically unchanged. The amplitude has a significant effect on the decomposition effect. The smaller the amplitude, the worse the decomposition effect of the VMD method. Taking the excavation of the Badaling Great Wall Station as the background, the LSM method, EMD method, and VMD method are used to remove the low-frequency noise of the randomly selected test signals in order. Compared with the LSM method and the EMD method, the signal processed by the VMD method does not have modal mixing and does not have much low-frequency noise residue. It has more extensive applicability in removing low-frequency noise of blasting signal.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Denoising Application of Magnetotelluric Low-Frequency Signal Processing
    Li, Jin
    Ma, Fanhong
    Tang, Jingtian
    Liu, Yecheng
    Cai, Jin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [2] The Low-Frequency Measuring Method and Signal Processing Application in Electrical Machines and Electric Devices Monitoring
    Jaraczewski, Marcin
    Mielnik, Ryszard
    Sulowicz, Maciej
    2016 13TH SELECTED ISSUES OF ELECTRICAL ENGINEERING AND ELECTRONICS (WZEE), 2016,
  • [3] Low-Frequency Ultrasound Thoracic Signal Processing Based on Music Algorithm and EMD Wavelet Thresholding
    Zhou, Yinggang
    Li, Jifeng
    Yan, Hua
    Yan, Xin
    IEEE ACCESS, 2023, 11 : 73912 - 73921
  • [4] Ramanujan sums for signal processing of low-frequency noise
    Planat, M
    Rosu, H
    Perrine, S
    PHYSICAL REVIEW E, 2002, 66 (05): : 7
  • [5] Research and application of the processing method for Carboniferous low-frequency signals, Junggar Basin
    Tuo J.
    Wang X.
    Dou Q.
    Ye D.
    Jiang L.
    Tan J.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2020, 55 : 20 - 24
  • [6] Intracellular study on low-frequency acoustic signal processing in locust
    Shen, Junxian
    Xu, Zhimin
    Science in China, Series B: Chemistry, Life Sciences & Earth Sciences, 1995, 38 (10):
  • [7] Digital signal processing in the low-frequency channel of a modulation radiometer
    Volokhov, S.A.
    Korsakov, S.Ya.
    Kochetkov, A.A.
    Izvestiya VUZ: Radioelektronika, 1992, 35 (01): : 33 - 38
  • [8] Integrated circuit for processing a low-frequency signal from a seismic detector
    N. I. Malashevich
    A. S. Roslyakov
    S. A. Polomoshnov
    R. A. Fedorov
    Semiconductors, 2011, 45 : 1680 - 1683
  • [9] Integrated circuit for processing a low-frequency signal from a seismic detector
    Malashevich, N. I.
    Roslyakov, A. S.
    Polomoshnov, S. A.
    Fedorov, R. A.
    SEMICONDUCTORS, 2011, 45 (13) : 1680 - 1683
  • [10] OPTICAL PROCESSING OF LOW-FREQUENCY SIGNALS
    CHERTOV, VG
    SHERESHEV, AB
    RADIOTEKHNIKA I ELEKTRONIKA, 1976, 21 (10): : 2224 - 2226