Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2017/9602650/figures/9602650.fig.0010a.svgz" name="9602650.fig.0010a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>First RBM layer</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2017/9602650/figures/9602650.fig.0010b.svgz" name="9602650.fig.0010b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Second RBM layer</td></tr></table>

<div>Features distribution of EEMD-DBN result.</div>

International Journal of Rotating Machinery

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Figure 10

Figure 10: Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network 