Multi-fault detection of systems with bounded uncertainties

Fault detection in linear static models with uncertain parameters is studied. Using a parity space technique, a method based on the bounding approach is proposed. Several types of structured faults may affect a physical system and in this context, two cases are distinguished: i) the structured fault is a prior identified as a region in the parameter space, by considering the physical knowledge on the studied system. The corresponding procedure is called supervised; ii) the second case corresponds to a fault which has an unknown structure. The corresponding procedure is called unsupervised fault. In this article, a strategy consists first in characterizing various fault structures and then in establishing a fault detection and identification (FDI) procedure by using interval analysis