A Novel Fault Diagnosis Method for Rolling Bearing Based on Improved Sparse Regularization via Convex Optimization

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/2169364/figures/2169364.fig.005a.svgz" name="2169364.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The waveform in time response by TV method</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/2169364/figures/2169364.fig.005b.svgz" name="2169364.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The frequency spectrum analysis by TV method</td></tr></table>

<div>The result provided by the typical total variation (TV) denoising.</div>

Complexity

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Figure 5

Figure 5: A Novel Fault Diagnosis Method for Rolling Bearing Based on Improved Sparse Regularization via Convex Optimization 