A New Approach to Fault Diagnosis of Power Systems Using Fuzzy Reasoning Spiking Neural P Systems

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Candidate faulted sections</td><td align="center">Faulted confidence level</td><td align="center">Faulted section</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Bus B85</td><td align="center">0.720</td><td align="center">Yes</td></tr><tr><td align="left">Line L2</td><td align="center">0.0998</td><td align="center">No</td></tr><tr><td align="left">Line L3</td><td align="center">0.0998</td><td align="center">No</td></tr><tr><td align="left">Line L4</td><td align="center">0.0998</td><td align="center">No</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Candidate faulted sections and diagnostic results for application 1.

Mathematical Problems in Engineering

tab3

Table 3

Table 3: A New Approach to Fault Diagnosis of Power Systems Using Fuzzy Reasoning Spiking Neural P Systems 