NPC Three-Level Inverter Open-Circuit Fault Diagnosis Based on Adaptive Electrical Period Partition and Random Forest

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2020/9206579/figures/9206579.fig.0012a.svgz" name="9206579.fig.0012a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Raw signal</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2020/9206579/figures/9206579.fig.0012b.svgz" name="9206579.fig.0012b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Denoised signal</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/js/volume-2020/9206579/figures/9206579.fig.0012c.svgz" name="9206579.fig.0012c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Contrast of two signals</td></tr></table>

<div>The raw and denoised phase-A current signal of Sa1 open fault.</div>

Journal of Sensors

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Figure 12

Figure 12: NPC Three-Level Inverter Open-Circuit Fault Diagnosis Based on Adaptive Electrical Period Partition and Random Forest 