DocumentCode
3410646
Title
An analysis of induction motor predictive maintenance techniques
Author
Soergel, Susan ; Rastgoufard, Parviz
Author_Institution
Entergy Oper. Inc., Killona, LA, USA
fYear
1996
fDate
31 Mar-2 Apr 1996
Firstpage
301
Lastpage
305
Abstract
Predictive maintenance for large electric motors has generally consisted of traditional tests used to determine the condition of the groundwall insulation of the stator and the integrity of the rotor bars. These tests are trended and an attempt is made to estimate the remaining life of the motor by analyzing the past performance of motors under study. An alternate scheme is proposed which consists of some traditional tests correlated with new techniques. Capacitance tests, balance of resistance tests, and balance of inductance tests are not used widely today. Another promising predictive test indirectly measures the negative sequence currents which are produced by the fault. Furthermore, there is some discrepancy as to how to perform and analyze common procedures which can yield useful information. This paper clarifies the best techniques and procedures through theory and experience in an industrial setting. It examines each test and determines its value according to effectiveness and practicality
Keywords
high-voltage techniques; induction motors; insulation testing; machine insulation; machine testing; maintenance engineering; capacitance tests; high voltage test; inductance balance tests; induction motor; insulation testing; negative sequence current measurement; predictive maintenance; predictive test; resistance balance tests; Bars; Dielectrics and electrical insulation; Electric motors; Induction motors; Insulation testing; Life testing; Performance analysis; Predictive maintenance; Rotors; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location
Baton Rouge, LA
ISSN
0094-2898
Print_ISBN
0-8186-7352-4
Type
conf
DOI
10.1109/SSST.1996.493518
Filename
493518
Link To Document