Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">KPCA</td><td align="center">NPP</td><td align="center">LLD</td><td align="center">KLLD</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">Dataset1</td><td align="center">159.5</td><td align="center">517.7</td><td align="center">226.6</td><td align="center"><span style="width: 74.375px;"><svg height="16.049999" id="M298" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 74.375 16.049999" width="74.375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">Dataset2</td><td align="center">38.97</td><td align="center">47.28</td><td align="center">120.8</td><td align="center">186.4</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Ratio of between-class distance and within-class distance using four dimensionality reduction methods.

Shock and Vibration

tab5

Table 5

Table 5: Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis 