An Optimization Approach to Fault Detection with Sensor Locations

This paper considers the fault detection problem with sensor locations of linear time invariant system. To attain the amount of information about the process fault as much as possible, m variables out of N available process measurements are selected for measurement outputs. A minimum total measurement cost can be achieved when the system is designed to be as sensitive as possible to faults and simultaneously as robust as possible to the unknown inputs such as disturbance. The simulation results illustrate the effectiveness of the proposed approach.