An Improved Deep Learning Model for Online Tool Condition Monitoring Using Output Power Signals

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Training time (s)</td><td class="align_center">Testing time (<i>μ</i>s)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Proposed</td><td class="align_center">42</td><td class="align_center">108</td></tr><tr><td class="align_left">W-CONV</td><td class="align_center">30.5</td><td class="align_center">95</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Computational times of each model.</div>

Shock and Vibration

tab8

Table 8

Table 8: An Improved Deep Learning Model for Online Tool Condition Monitoring Using Output Power Signals 