Rotor fault diagnosis based on fusion estimation of multi-circuit model of induction motor

The breaking of rotor-bar is the common fault of squirrel cage induction motor (SCIM). According to multi-sensor data fusion theory, a kind of rotor´s fault detection system based on multi-sensor data fusion estimation of induction motor´s model is provided, which makes use of strong tracking filter´s tracking ability to the abrupt state. Through the computer´s simulation, the system has strong identification ability and a high estimated accuracy to the parameter variation, and it can make a diagnosis quickly and in time when the fault occurs.