A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Well</td><td class="align_center">DAE model predictions</td><td class="align_center">Actual failure time</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">831353407</td><td class="align_center">6 June 2019</td><td class="align_center">9 June 2019</td></tr><tr><td class="align_left">831352627</td><td class="align_center">19 June 2019</td><td class="align_center">23 June 2019</td></tr><tr><td class="align_left">951352447</td><td class="align_center">26 May 2018</td><td class="align_center">1 June 2018</td></tr><tr><td class="align_left">951412537</td><td class="align_center">7 July 2018</td><td class="align_center">10 July 2018</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>.Comparison between ESP anomaly detection time and actual failure time by DAE model.</div>

Shock and Vibration

tab6

Table 6

Table 6: A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM 