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Table 4 Features of different methods

From: Time-frequency Feature Extraction Method of the Multi-Source Shock Signal Based on Improved VMD and Bilateral Adaptive Laplace Wavelet

Feature name

Features of optimized VMD+BALW method

Optimized VMD + Conventional features method

Formula

Prompt

Angle of shock initiation

×

\(a{\text{ = ang}}\left( {\frac{{\sqrt {1 - \xi_{2}^{2} } \ln 0.01}}{{2{\uppi }f\xi_{2} }} + \tau } \right)\)

\({\text{ang}}\left( \cdot \right)\) converts time into angles

Peak value

\(p = \max \left\{ {\left| x \right|} \right\}\)

 

Shock frequency

×

\(\omega = \mathop {\arg \max }\limits_{\omega } \left\{ {\left| {\hat{x}} \right|} \right\}\)

\(\hat{x}\) is the Fourier transform of the signal x

Root mean square

\(x_{{{\text{rms}}}} = \sqrt {\frac{1}{n}\sum\nolimits_{i = 1}^{n} {x_{i}^{2} } }\)

 

Standard deviation

\(\sigma = \sqrt {\frac{1}{n}\sum\nolimits_{i = 1}^{n} {\left( {x_{i} - \overline{x}} \right)^{2} } }\)

 

Kurtosis

\(ku = \frac{1}{n}\sum\limits_{i = 1}^{n} {\left( {\frac{{x_{i} - \overline{x}}}{\sigma }} \right)^{4} }\)

 

Crest factor

\(c = p/x_{{{\text{rms}}}}\)

 

Skewness

\(s = \frac{1}{n}\sum\limits_{i = 1}^{n} {\left( {\frac{{x_{i} - \overline{x}}}{\sigma }} \right)^{3} }\)