The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/429185/figures/429185.fig.005a.svgz" name="429185.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Time domain, frequency domain waveform</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/429185/figures/429185.fig.005b.svgz" name="429185.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>PF component of inner ring fault vibration signal LMD decomposition</td></tr></table>

<div>The time domain, frequency domain waveform, and the LMD decomposition result of the inner ring fault vibration signal.</div>

Mathematical Problems in Engineering

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Figure 5

Figure 5: The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation 