Machine Learning-Based Fault Diagnosis of Self-Aligning Bearings for Rotating Machinery Using Infrared Thermography

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Brand/model</td><td class="align_center">Bonvario/BM 90S-2</td></tr><tr><td class="align_left">Phase/pole</td><td class="align_center">1/2</td></tr><tr><td class="align_left">Frequency/rated voltage</td><td class="align_center">50 Hz/220 V</td></tr><tr><td class="align_left">Protecting grade</td><td class="align_center">IP-55</td></tr><tr><td class="align_left">Ambient temperature</td><td class="align_center">45°C</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Specifications of the induction motor.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: Machine Learning-Based Fault Diagnosis of Self-Aligning Bearings for Rotating Machinery Using Infrared Thermography 