Stator fault detection in induction machines by parameter estimation, using adaptive kalman filter

In this paper first a parametric low differential order model, suitable for mathematically analysis is introduced for Induction Machines with faulty stator. Second, an adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous-time model with discrete measurements for fault detection ends. Typical motor faults as inter-turn short circuit and increased winding resistance are taken into account.