Bearing Fault Vibration Signal Feature Extraction and Recognition Method Based on EEMD Superresolution Sparse Decomposition

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr class="thead"><td class="align_left">Serial number</td><td class="align_center">Normal</td><td class="align_center">Shallow crack on the drive end</td><td class="align_center">Deep crack at the drive end</td><td class="align_center">Gear shallow crack</td><td class="align_center">Gear deep crack</td><td class="align_center">Fan shallow crack</td><td class="align_center">Fan deep crack</td></tr><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr><td class="align_left">Energy entropy</td><td class="align_center">1.4015</td><td class="align_center">1.3299</td><td class="align_center">1.2501</td><td class="align_center">1.1372</td><td class="align_center">1.0672</td><td class="align_center">0.0743</td><td class="align_center">0.0435</td></tr><tr class="table-tr"><td colspan="8"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The energy entropy of the third category example failure mode (drive end, fan, and gear).</div>

Shock and Vibration

tab8

Table 8

Table 8: Bearing Fault Vibration Signal Feature Extraction and Recognition Method Based on EEMD Superresolution Sparse Decomposition 