Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Threshold type</td><td align="center">Number of false alarms</td><td align="center">Number of missed alarms</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Constant</td><td align="center">8</td><td align="center">382</td></tr><tr><td align="left">Adaptive</td><td align="center">5</td><td align="center">57</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks 