Fault Diagnosis Method of Rotating Machinery Based on Collaborative Hybrid Metaheuristic Algorithm to Optimize VMD

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Number of modes</td><td class="align_center">Quadratic penalty term coefficient</td><td class="align_center">Primary population size of NSGA II</td><td class="align_center">Target population size of NSGA II</td><td class="align_center">Initial population number of MOPSO</td><td class="align_center">Number of optimization targets</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><span style="width: 51.5594ptpx;"><svg height="11.439pt" id="M92" style="vertical-align:-2.39208pt" version="1.1" viewbox="-0.0498162 -9.04692 51.5594 11.439" width="51.5594pt" 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="M743 650H503L496 622L527 618C563 613 564 603 532 573C449 495 371 431 323 392C301 374 272 355 246 346L280 522C297 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<div>Setting of parameter value in optimization algorithm.</div>

Journal of Sensors

tab3

Table 3

Table 3: Fault Diagnosis Method of Rotating Machinery Based on Collaborative Hybrid Metaheuristic Algorithm to Optimize VMD 