A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/complexity/volume-2019/6943234/figures/6943234.fig.0010a.svgz" name="6943234.fig.0010a" type="image/svg+xml"></object><div class="fig-label">(a) Inner ring fault</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/complexity/volume-2019/6943234/figures/6943234.fig.0010b.svgz" name="6943234.fig.0010b" type="image/svg+xml"></object><div class="fig-label">(b) Outer ring fault</div></div><div class="sub-figure" id="c"><object data="https://static.hindawi.com/articles/complexity/volume-2019/6943234/figures/6943234.fig.0010c.svgz" name="6943234.fig.0010c" type="image/svg+xml"></object><div class="fig-label">(c) Ball fault</div></div><div class="sub-figure" id="d"><object data="https://static.hindawi.com/articles/complexity/volume-2019/6943234/figures/6943234.fig.0010d.svgz" name="6943234.fig.0010d" type="image/svg+xml"></object><div class="fig-label">(d) Health</div></div></figure>

<p>Signal time-frequency graphs of the experimental station of Case Western Reserve University.</p>

Complexity

fig10

Figure 10

Figure 10: A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network 