Application of ENN-1 for Fault Diagnosis of Wind Power Systems

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Error percentage</td><td align="center">Accuracy</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">±0%</td><td align="center">100%</td></tr><tr><td align="left">±5%</td><td align="center">94%</td></tr><tr><td align="left">±10%</td><td align="center">88%</td></tr><tr><td align="left">±15%</td><td align="center">75%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Recognized performances of the proposed method with different percentages of errors added.

Mathematical Problems in Engineering

tab3

Table 3

Table 3: Application of ENN-1 for Fault Diagnosis of Wind Power Systems 