Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static-preview.hindawi.com/articles/complexity/volume-2019/2635714/figures/2635714.fig.005a.svgz" name="2635714.fig.005a" type="image/svg+xml"></object><div class="fig-label">(a)  FRSN P system model</div></div><div class="sub-figure" id="b"><object data="https://static-preview.hindawi.com/articles/complexity/volume-2019/2635714/figures/2635714.fig.005b.svgz" name="2635714.fig.005b" type="image/svg+xml"></object><div class="fig-label">(b) FRSN P system model</div></div></figure>

<p>Suspect fault components FRSN P system model.</p>

Complexity

fig5

Figure 5

Figure 5: Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems 