Fault detection and isolation using interval analysis: application to vehicle monitoring

Abstract

This paper gives an ezample of the w e set membership techniques for detecting component fault and model failures and isolating the cawe of the fault. Set membership estimation techniques can inhemntly detect model failure when the estimated set becomes empty. This property is here applied for fusing parity equations genemted by an analytic redundancy study. For each parity equation, one defines a symbolic indicator that individually characterizes a certain or possible failure. Defining a {cawe/effect) a m y makes it possible to isolate the certain or possible cnuses of the defect. The method is developped within a pedagogical ezample of the kinematical model of a vehicle.

Model-based fault diagnosis/prognosis for wheeled mobile robots: a review

“…The paper [2], using the parity relation technique, investigates a car-like WMR and presents a monitoring system for a set of sensors of a GPS, a gyroscope, accelerometers and a steering encoder. In parity relations technique, parity equations are rearranged and usually transformed into variants of the input-output or state-space models of the system [3].…”

Vehicle following : control design, simulation and experiments

“…The output from the observer and that of the actuator are compared to determine the working condition of the actuator. Many good results for vehicle diagnosis have been reported along this direction over the last decade,[80][81][82][83][84][85][86] to name a few. For a vehicle platoon, besides the vehicles themselves, the fault may occur in the communication channel, if there is one in use.…”