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Impact signal feature extraction and noise reduction method

A signal feature and noise reduction technology, applied in the field of feature extraction and noise reduction of shock signals, can solve the problems of low signal-to-noise ratio of shock signals and unsatisfactory noise reduction processing effect, and achieve high signal-to-noise ratio and noise reduction processing effect. ideal effect

Inactive Publication Date: 2020-05-05
NANJING COLLEGE OF INFORMATION TECH
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Problems solved by technology

[0003] Aiming at the problem that the wavelet denoising method in the prior art has an unsatisfactory denoising effect and a low signal-to-noise ratio of the shock signal after denoising, the purpose of the present invention is to provide a method for feature extraction and denoising of the shock signal. The processing effect is ideal, and the impact signal after noise reduction processing has a high signal-to-noise ratio

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  • Impact signal feature extraction and noise reduction method
  • Impact signal feature extraction and noise reduction method
  • Impact signal feature extraction and noise reduction method

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Embodiment 1

[0040] Such as figure 1 As shown, a method for feature extraction and noise reduction of shock signals includes the following steps:

[0041] Step 1: Reconstruct the attractor trajectory matrix using phase space reconstruction theory;

[0042] Suppose the shock signal s(t) is a one-dimensional time signal sequence with length N, t=1, 2,..., N, use the phase space reconstruction theory to reconstruct the attractor trajectory matrix, and obtain the sub-matrix B, as shown in formula (1 ) as shown:

[0043]

[0044] In the formula: N=L+(M-1)τ, τ=1, sub-matrix B is an L×M dimensional matrix;

[0045] Step 2: performing singular value decomposition on the sub-matrix B;

[0046] Singular value decomposition is performed on the sub-matrix B, as shown in formula (2):

[0047] B L×M =U L×L ∑ L×M V T M×M (2)

[0048] In the formula: U is an L-order orthogonal matrix, V is an M-order orthogonal matrix; Σ is a diagonal matrix: Σ=dig(δ 1 ,δ 2 ,…,δ L ), where δ 1 ,δ 2 ,…,δ...

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Abstract

The invention discloses an impact signal feature extraction and noise reduction method which comprises the steps of reconstructing an attractor trajectory matrix by using a phase space reconstructiontheory, performing singular value decomposition on a sub-matrix B, determining the optimal row number of the reconstructed sub-matrix B, determining the effective order of the reconstructed sub-matrixB and the reconstructed sub-matrix B, and obtaining a noise-reduced impact signal. Aiming at the problems that a wavelet noise reduction method in the prior art is not ideal in noise reduction processing effect and the signal-to-noise ratio of the noise-reduced impact signal is low, the impact signal feature extraction and noise reduction method is ideal in noise reduction processing effect, andthe reconstructed signal after noise reduction processing has a relatively high signal-to-noise ratio.

Description

technical field [0001] The invention relates to a feature extraction and noise reduction method of an impact signal. Background technique [0002] Impact collision is a phenomenon that often occurs in daily life, such as car crash tests. In these studies, through the analysis and processing of the impact signal, some important parameters (impact time, maximum acceleration, maximum force, etc.) refer to. However, during the impact process, the overload acceleration signal measured by the test system generally includes the vibration signal and external noise generated by the test device during the impact process, in addition to the acceleration signal borne by the vehicle body during the impact process. It is unavoidable in the process, and it is a component that needs to be filtered out when extracting impact features. The key to processing the impact signal is to find a suitable filtering method to remove the vibration signal of the test device and external noise generate...

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Application Information

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IPC IPC(8): G01M7/08G01M17/007G01H17/00
CPCG01H17/00G01M7/08G01M17/0078
Inventor 赵海峰张亚郭燕
Owner NANJING COLLEGE OF INFORMATION TECH
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