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

<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 align="left">Scenario</td><td align="left">Observed signal</td><td align="center">Faulted section/confidence level</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">1</td><td align="left">B13m, CB1306, CB1312, CB1314</td><td align="center">B13/0.8519</td></tr><tr><td align="left">2</td><td align="left">B13m, L1413s, CB1306, CB1312, CB1413</td><td align="center">B13/0.720</td></tr><tr><td align="left">3</td><td align="left">B13m, L1413m, CB1306, CB1312, CB1314</td><td align="center">B13/0.8519</td></tr><tr><td align="left">4</td><td align="left">L1213p, L1312p, L0613s, CB0613, CB1213, CB1312</td><td align="center">L1213/0.765</td></tr><tr><td align="left">5</td><td align="left">B04m, B09m, CB0402, CB0405, CB0407, CB0409, CB0904, CB0907, CB0910, CB0914</td><td align="center">B04/0.8519, B09/0.8519</td></tr><tr><td align="left">6</td><td align="left">B14m, L1314m, L1413m, L0914s, CB0914, CB1314, CB1413</td><td align="center">B14/0.720, L1314/0.8981</td></tr><tr><td align="left">7</td><td align="left">B11m, L0907m, L0914m, L0407s, L0807s, L0910s, L1110s, <br/>CB0910, CB0907, CB0910, CB0914, CB1106, CB1110</td><td align="center">B10/0.720, B11/0.8519 <br/>L0709/0.720</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Typical fault scenarios and the corresponding diagnostic results for application 3.

Mathematical Problems in Engineering

tab6

Table 6

Table 6: A New Approach to Fault Diagnosis of Power Systems Using Fuzzy Reasoning Spiking Neural P Systems 