Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved <i>K</i>-Means

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Sensor</td><td class="align_center">Sensor 1</td><td class="align_center">Sensor 5</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Confidence interval</td><td class="align_center"><i>S</i><sub><i>P</i>1</sub> = 15.2765</td><td class="align_center"><i>S</i><sub><i>P</i>5</sub> <i>=</i> 16.5844</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The confidence interval of two sensors.</div>

Shock and Vibration

tab6

Table 6

Table 6: Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved <i>K</i>-Means 

Shock and Vibration

Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved K-Means

Table 6