A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System

<div>Parameters tuning based on PSO algorithm (<svg height="7.35473pt" id="M212" style="vertical-align:-0.3499303pt" version="1.1" viewbox="-0.0498162 -7.0048 4.94072 7.35473" width="4.94072pt" 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="M320 255C320 327 260 385 186 385S52 327 52 255S112 125 186 125S320 183 320 255Z" id="g117-74"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="371" vert-adv-y="371"></glyph.data></g></svg> denotes the original distribution of the particles and <svg height="9.69047pt" id="M213" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -9.34054 10.8779 9.69047" width="10.8779pt" 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="M799 12L418 655H408L27 12L34 0H792L799 12ZM711 50H115L413 553L711 50Z" id="g117-65"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="826" vert-adv-y="826"></glyph.data></g></svg> denotes the final distribution of the particles).</div>

Computational Intelligence and Neuroscience

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Figure 5

Figure 5: A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System 