Fault Detection of Wind Turbine Pitch System Based on Multiclass Optimal Margin Distribution Machine

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left"> </td><td class="align_center">Number of predicted faulty samples</td><td class="align_center">Number of predicted normal samples</td></tr><tr><td class="align_left">Number of actual faulty samples (P)</td><td class="align_center">TP</td><td class="align_center">FN</td></tr><tr><td class="align_left">Number of actual normal samples (N)</td><td class="align_center">FP</td><td class="align_center">TN</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div><i>Note</i>. TP: the number of the samples classified as faulty samples and predicted to be faulty in the sample set; FP: the number of the samples classified as faulty samples and predicted to be normal in the sample set; TN: the number of the samples classified as normal samples and predicted to be normal in the sample set; FN: the number of the samples classified as normal samples and predicted to be faulty in the sample set.<br/></div></td></tr></table>

Mathematical Problems in Engineering

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Table 1

Table 1: Fault Detection of Wind Turbine Pitch System Based on Multiclass Optimal Margin Distribution Machine 