A GIS Partial Discharge Pattern Recognition Method Based on Improved CBAM-ResNet

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">PD type</td><td class="align_center">Corona PD</td><td class="align_center">Surface PD</td><td class="align_center">Suspended electrode PD</td><td class="align_center">Free metal PD</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Number</td><td class="align_center">3</td><td class="align_center">17</td><td class="align_center">24</td><td class="align_center">5</td></tr><tr><td class="align_left">Recognition accuracy</td><td class="align_center" colspan="4">93.88%</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Recognition results of PRPD images in the field test.</div>

Journal of Electrical and Computer Engineering

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Table 1

Table 1: A GIS Partial Discharge Pattern Recognition Method Based on Improved CBAM-ResNet 