Design and Implementation of Acoustic Sensing System for Online Early Fault Detection in Industrial Fans

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2018/4105208/figures/4105208.fig.0010a.svgz" name="4105208.fig.0010a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original acoustic time-domain signal from an industrial fan</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2018/4105208/figures/4105208.fig.0010b.svgz" name="4105208.fig.0010b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Result of eliminating remaining noise using KLT high-pass filtering</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/js/volume-2018/4105208/figures/4105208.fig.0010c.svgz" name="4105208.fig.0010c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Waveform after applying the Hamming window with a certain bandwidth</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/js/volume-2018/4105208/figures/4105208.fig.0010d.svgz" name="4105208.fig.0010d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Waveform after inverse transform and MFCC signal feature process</td></tr></table>

<div>Spectrum feature filtering of acoustic signal.</div>

Journal of Sensors

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Figure 10

Figure 10: Design and Implementation of Acoustic Sensing System for Online Early Fault Detection in Industrial Fans 