State feedback method of inter-turn short circuit in rotor winding of induction motor based on improved association rule algorithm

Abstract

Aiming at timely feedback and processing of asynchronous motor rotor windings, a feedback method based on an improved association rule algorithm of asynchronous motor rotor windings is studied. Based on the inter-turn short circuit mechanism of asynchronous motor windings, the fuzzy association rule mining method is used to mine the inter-turn short circuit mechanism of asynchronous motor windings. The method mines the rotor-side electrical parameters as the input of the deep neural network and uses the deep neural network to output the short-circuit state feedback results of the rotor windings of the asynchronous motor. The experimental results show that when the A-phase of the asynchronous motor is the faulty phase, the A-phase current of the rotor winding inter-turn short circuit increases significantly, and the phase angle difference deviation has a positive correlation, which effectively feedbacks the asynchronous motor rotor winding inter-turn short-circuit state.