Fault detection on non linear systems described by multiple linearized models

This paper deals with the use of adaptive Kalman filters for fault diagnosis on non linear systems described by multiple models. The matrices Q and R used to build up the gain of Kalman filters are considered here as synthesis parameters for these filters. Adequate variations of these matrices values allow to perform fault detection during the transition phase between two models.