Machine Fault Classification Based on Local Discriminant Bases and Locality Preserving Projections

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left" rowspan="2">Metric</td><td align="center" colspan="2">PCA</td><td align="center" colspan="2">LPP</td></tr><tr class="thead"><td align="center">WPT</td><td align="center">LDB</td><td align="center">WPT</td><td align="center">LDB</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left"><span style="width: 8.2875004px;"><svg height="11.75" id="M166" style="vertical-align:-0.1254pt" version="1.1" viewbox="0 0 8.2875004 11.75" width="8.2875004" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td><td align="center">3.0900</td><td align="center">4.0740</td><td align="center">7.8135</td><td align="center">8.7864</td></tr><tr><td align="left">ACC</td><td align="center">0.4700</td><td align="center">0.7560</td><td align="center">0.9740</td><td align="center">0.9800</td></tr><tr><td align="left">NMI</td><td align="center">0.7914</td><td align="center">0.9090</td><td align="center">0.9546</td><td align="center">0.9623</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Clustering evaluation of different features for dataset A.

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Machine Fault Classification Based on Local Discriminant Bases and Locality Preserving Projections 