An Improved Feature Parameter Extraction Algorithm of Composite Detection Method Based on the Fusion Theory

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Source</td><td class="align_center">Feature parameters</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">PEC</td><td class="align_center">The mean value of the signals, kurtosis index, amplitude of fundamental component, and amplitude of third harmonic component</td></tr><tr><td class="align_left">UT</td><td class="align_center">Defect band mean</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Feature parameters from different sources.</div>

Journal of Sensors

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Table 4

Table 4: An Improved Feature Parameter Extraction Algorithm of Composite Detection Method Based on the Fusion Theory 