Multisource Fault Signal Separation of Rotating Machinery Based on Wavelet Packet and Fast Independent Component Analysis

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2021/9914724/figures/9914724.fig.004a.svgz" name="9914724.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The separated time domain signals with different noises by FastICA</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijrm/volume-2021/9914724/figures/9914724.fig.004b.svgz" name="9914724.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The separated frequency domain signals with different noises by FastICA</td></tr></table>

<div>Time-frequency waveforms of the FastICA algorithm.</div>

International Journal of Rotating Machinery

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Figure 4

Figure 4: Multisource Fault Signal Separation of Rotating Machinery Based on Wavelet Packet and Fast Independent Component Analysis 