Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Decomposition layer</td><td class="align_center">4</td><td class="align_center">5</td><td class="align_center">6</td><td class="align_center">7</td><td class="align_center">8</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><i>r</i><sub><i>k</i></sub></td><td class="align_center">0.5152</td><td class="align_center">0.4556</td><td class="align_center">0.3257</td><td class="align_center">0.3234</td><td class="align_center">0.3143</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Singular value vector correlation coefficients of various signals.</div>

Shock and Vibration

tab2

Table 2

Table 2: Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning 