An Improved Power Quality Disturbance Detection Using Deep Learning Approach

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Processor</td><td class="align_center" colspan="2">Training time (s)</td></tr><tr class="thead"><td class="align_center">For 128000 samples</td><td class="align_center">For 512000 samples</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">GPU (Tesla K80)</td><td class="align_center">24</td><td class="align_center">95</td></tr><tr><td class="align_left">CPU (Intel i7 Processor)</td><td class="align_center">90</td><td class="align_center">360</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Impact of processor on training time.</div>

Mathematical Problems in Engineering

tab9

Table 9

Table 9: An Improved Power Quality Disturbance Detection Using Deep Learning Approach 