A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="11"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">C1</td><td align="center">C2</td><td align="center">C3</td><td align="center">C4</td><td align="center">C5</td><td align="center">C6</td><td align="center">C7</td><td align="center">C8</td><td align="center">C9</td><td align="center">C10</td></tr><tr><td class="thead-hr" colspan="11"><hr/></td></tr><tr><td align="left">Average fuzzy entropy</td><td align="center">1.7761</td><td align="center">1.8695</td><td align="center">1.8855</td><td align="center">1.7904</td><td align="center">1.8734</td><td align="center">1.9018</td><td align="center">1.8080</td><td align="center">1.8653</td><td align="center">1.8107</td><td align="center">1.9268</td></tr><tr class="table-tr"><td colspan="11"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Average fuzzy entropy of 10 failure modes.

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine 