Doubly fed induction generators (DFIG) was gradually used in the wind power market, the capacity also increases year by year. Due to poor working conditions of the wind farm, it made DFIG often fail. Stator and rotor windings failure accounted for a large proportion of DFIG fault. A multiloop math model was built for stator winding of DFIG under normal and interturn shortcircuit fault conditions .Based on the extended Park’s vector, the stator terminal current was analyzed by spectrum analysis and the residual voltage after switchoff was analyzed on the residual voltage. The characteristic information was diagnosed by fault information fusion. The simulation results showed that the information fusion method used in motor fault diagnosis, improved the effectiveness of its diagnosis and accuracy.