A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/sv/volume-2016/9372691/figures/9372691.fig.005a.svgz" name="9372691.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The similarity of sinusoidal component with different noise level</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/sv/volume-2016/9372691/figures/9372691.fig.005b.svgz" name="9372691.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The similarity of cosine component with different noise level</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/sv/volume-2016/9372691/figures/9372691.fig.005c.svgz" name="9372691.fig.005c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>The similarity of FM component with different noise level</td></tr></table>

<div>The results of VMD decomposition with varied noise level.</div>

Shock and Vibration

fig5

Figure 5

Figure 5: A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition 