A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2021/7496007/figures/7496007.fig.009a.svgz" name="7496007.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>First fully connected layer</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2021/7496007/figures/7496007.fig.009b.svgz" name="7496007.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Second fully connected layer</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/js/volume-2021/7496007/figures/7496007.fig.009c.svgz" name="7496007.fig.009c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Third fully connected layer</td></tr></table>

<div>Feature visualization of different layers for bearing data in ESPCN.</div>

Journal of Sensors

fig9

Figure 9

Figure 9: A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN 