Title :
Prediction of electrical behavior in deteriorating induction motors
Author :
Trutt, Frederick C. ; Cruz, Carlos Santa ; Kohler, Jeffery L. ; Sottile, Joseph
Author_Institution :
Coll. of Eng., Kentucky Univ., Lexington, KY, USA
Abstract :
Methods for the prediction of electrical behavior in deteriorating induction machines are surveyed. Generally, these procedures require the assumption of a specific motor speed. The electrical operating parameters are then calculated using a model developed for this purpose. These models normally allow an arbitrary number of winding deterioration processes to be simulated on the stator and/or rotor. Forms of deterioration might include high- or low-impedance leakage between phases, between coils in a single phase, or between a phase and ground. In this work, experimental data for a three-phase, wound rotor induction motor with stator deterioration is compared with the predictions of a specific model of that motor. Procedures are then developed for the prediction of deterioration trends in classes of motors. One application of such an analysis would be in the generation of databases required to design and develop performance monitoring, deterioration detection, or deterioration classification systems for critical motor installations without the need to develop a predictive model for each motor type
Keywords :
induction motors; rotors; stators; critical motor installations; deterioration classification systems; deterioration detection; electrical behavior prediction; electrical operating parameters; high-impedance leakage; induction motors; low-impedance leakage; performance monitoring; rotor; stator; three-phase; winding deterioration processes; wound rotor; Coils; Databases; Induction generators; Induction machines; Induction motors; Performance analysis; Predictive models; Rotors; Stator windings; Wounds;
Journal_Title :
Industry Applications, IEEE Transactions on