Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Maximum false alarm rate specified</td><td class="align_center">0.05</td></tr><tr><td class="align_left">Minimum error value in the remaining parameters set</td><td class="align_center">0.0928</td></tr><tr><td class="align_left"><i>Threshold</i></td><td class="align_center"><i>0.47</i></td></tr><tr><td class="align_left"><i>Sensitivity</i></td><td class="align_center"><i>0.06</i></td></tr><tr><td class="align_left">Corresponding false alarm rate</td><td class="align_center">0.0496</td></tr><tr><td class="align_left">Corresponding missed detection rate</td><td class="align_center">0.551</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Obtained results for the first chosen strategy.

Journal of Control Science and Engineering

tab3

Table 3

Table 3: Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations 