A New Feature Extraction Method for Bearing Faults in Impulsive Noise Using Fractional Lower-Order Statistics

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Program</td><td class="align_center">Calculation of the optimal FLOS</td><td class="align_center">Feature optimization program of covariation</td><td class="align_center">Running time (s) (SKF6205-2RS)</td><td class="align_center">Running time (s) (6001)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Proposed method</td><td class="align_center"><span style="width: 200.32ptpx;"><svg height="12.5794pt" id="M178" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 200.32 12.5794" width="200.32pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M699 369C699 549 575 666 407 666C186 666 23 488 23 278C23 101 145 -16 312 -16C535 -16 699 153 699 369ZM600 373C600 210 500 19 321 19C186 19 120 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<div>Computational complexity of programs in this paper.</div>

Shock and Vibration

tab7

Table 7

Table 7: A New Feature Extraction Method for Bearing Faults in Impulsive Noise Using Fractional Lower-Order Statistics 