Multiobjective Optimization of Diesel Particulate Filter Regeneration Conditions Based on Machine Learning Combined with Intelligent Algorithms

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Smoke (FSN)</td><td class="align_center">O<sub>2</sub> (%)</td><td class="align_center">NO<sub>x</sub> (ppm)</td><td class="align_center">T4 (°C)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">0.71</td><td class="align_center">2.84</td><td class="align_center">1398</td><td class="align_center">491</td></tr><tr><td class="align_left">2</td><td class="align_center">0.63</td><td class="align_center">4.38</td><td class="align_center">1287</td><td class="align_center">477</td></tr><tr><td class="align_left">3</td><td class="align_center">0.17</td><td class="align_center">5.84</td><td class="align_center">1084</td><td class="align_center">448</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Partial calibration results at 1600 r/min and 100% load.</div>

International Journal of Intelligent Systems

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Table 6

Table 6: Multiobjective Optimization of Diesel Particulate Filter Regeneration Conditions Based on Machine Learning Combined with Intelligent Algorithms 

Table 6 | Multiobjective Optimization of Diesel Particulate Filter Regeneration Conditions Based on Machine Learning Combined with Intelligent Algorithms 