Fault detection of uncertain models using polytope projection
Résumé
In this paper, a fault detection procedure for linear MIMO models with respect to the observations and the parameters is studied. The various undesirable phenomena being able to affect any physical system (parameter fluctuates, noise, ...) are taken into account by describing them as uncertainties. Thus a fault detection procedure is established by providing a more robust decision with respect to the various imperfections. A more general case consists in using polyps instead of the parallelotope, is treated in order to bring a better precision, by exploiting the Fourier-Motzkin elimination algorithm which is used to compute the projection of a polytope.