Mine microquake signal noise reduction filtering method based on VMD

A signal and microseismic technology, applied in the field of signal processing, can solve problems such as slow calculation speed, low picking accuracy, and difficulty in achieving noise reduction and filtering effects, and achieve simple algorithms, strong adaptability and real-time performance, good technical value and The effect of applying the foreground

Active Publication Date: 2017-06-09
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0003] At present, the commonly used noise reduction filtering methods for rock fracture microseismic signals include Empirical Mode Decomposition (EMD), Integrated Empirical Mode Decomposition (EEMD), wavelet analysis, etc. These methods have slow calculation speed, poor anti-noise performance, high misjudgment rate, The picking accuracy is low and th

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  • Mine microquake signal noise reduction filtering method based on VMD
  • Mine microquake signal noise reduction filtering method based on VMD
  • Mine microquake signal noise reduction filtering method based on VMD

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0049] Such as figure 1 As shown, a VMD-based noise reduction filtering method for mine microseismic signals specifically includes the following steps:

[0050] Step 1: Read the time series x(t) of the noisy microseismic monitoring signal x, where t=1, 2, ..., N, N is the number of sampling points of the microseismic signal;

[0051] Step 2: Perform VMD decomposition on the noisy microseismic signal x:

[0052] The noisy microseismic signal x is decomposed into a series of variational modal components by VMD, so that the sum of the estimated bandwidths of each mode is minimized, and the constraint condition is that the sum of each mode is equal to the input signal x(t), and the constraint variational model description For formula (1) and formula (2):

[0053]

[0054] s.t.∑ k u k =x(2);

[0055] In formula (1), {u k}:={u 1 ,...,u K} ...

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Abstract

The invention discloses a mine microquake signal noise reduction filtering method based on VMD, and belongs to the signal processing technical field; the method comprises the following steps: reading a sequential sequence x (t) of noised microquake signals; carrying out VMD decomposition for the sequential sequence x (t) of the microquake signals; calculating a cross correlation coefficient between the microquake signal sequential sequence x (t) and each variation modal component uk; considering the variation modal component with the central frequency bigger than 200Hz and the cross correlation coefficient with the noised microquake signal sequential sequence x (t) smaller than 0.3 as noises, and filtering the noises; reconstructing residual variation modal components, thus obtaining noise reduction and post-filter microquake signals. The method can effectively prevent modal aliasing phenomenon, is strong in adaptability and instantaneity, and can effectively carry out noise reduction filtering treatment for the microquake signals.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a VMD-based noise reduction filtering method for mine microseismic signals. Background technique [0002] Microseismic data are induced when the rock breaks. However, the underground noise pollution of coal mines is serious, so the microseismic data contains a large amount of external noise, and it is necessary to separate the effective microseismic signal from the noise. [0003] At present, the commonly used noise reduction filtering methods for rock fracture microseismic signals include Empirical Mode Decomposition (EMD), Integrated Empirical Mode Decomposition (EEMD), wavelet analysis, etc. These methods have slow calculation speed, poor anti-noise performance, and high misjudgment rate. The picking accuracy is low, and the algorithm is not real-time. For example, EMD will produce mode aliasing phenomenon during the decomposition process, that is, one o...

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Application Information

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IPC IPC(8): G01V1/36
CPCG01V1/288G01V1/364G01V2210/324
Inventor 张杏莉卢新明贾瑞生彭延军赵卫东
Owner SHANDONG UNIV OF SCI & TECH
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