Abstract :
This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.
Keywords :
Kalman filters; fault diagnosis; machine windings; short-circuit currents; stators; EKF; EKF variant estimates; extended Kalman filters; fault detection; fault factors; fault isolation; induction motor; inter-turn short circuits; state vector; stator windings; Circuit faults; Integrated circuit modeling; Mathematical model; Rotors; Stator windings; Vectors; Extended Kalman Filter; dwell time; fault factor; induction motor; inter-turn short circuit; multi-model;