DocumentCode
1018852
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
Volume
29
Issue
6
fYear
1993
Firstpage
1239
Lastpage
1243
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;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.259738
Filename
259738
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