Wear Identification of Vibration Drilling Bit Based on Improved LMD and BP Neural Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Spindle speed</td><td class="align_center">3000 r/min</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Feed rate</td><td class="align_center">2 <i>μ</i>m/r</td></tr><tr><td class="align_left">Vibration frequency</td><td class="align_center">40 kHz</td></tr><tr><td class="align_left">Amplitude</td><td class="align_center">13 <i>μ</i>m</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

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Table 1

Table 1: Wear Identification of Vibration Drilling Bit Based on Improved LMD and BP Neural Network 