Study on Fault Feature Extraction of Rolling Bearing Based on Improved WOA-FMD Algorithm

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">IMF</td><td class="align_center">IMF1</td><td class="align_center">IMF2</td><td class="align_center">IMF3</td><td class="align_center">IMF4</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Kurtosis value</td><td class="align_center">2.911</td><td class="align_center">3.177</td><td class="align_center">3.22</td><td class="align_center">3.018</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Kurtosis value of each IMF component of experimental inner ring fault signal.</div>

Shock and Vibration

tab6

Table 6

Table 6: Study on Fault Feature Extraction of Rolling Bearing Based on Improved WOA-FMD Algorithm 