DocumentCode :
2522903
Title :
Insulation diagnosis of motor winding based on feature distributions
Author :
Kishino, M. ; Mizuno, Y. ; Nakamura, H.
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2011
fDate :
16-19 Oct. 2011
Firstpage :
587
Lastpage :
590
Abstract :
Insulation failure of motor windings is one of faults that are likely to occur during the lifetime of motors. The authors have proposed a novel and simple method to diagnose insulation failure in a stator winding in terms of “fault probability”, which is calculated on the basis of feature distributions of magnitude and phase of current flowing into windings. Validity of the method was confirmed under no load condition in the previous report. In this paper, it will be shown that the proposed method is also quite effective under loaded conditions based on the results of a series of laboratory experiments using motors with an artificially introduced insulation failure in a stator winding.
Keywords :
electrical faults; load (electric); machine insulation; probability; stators; current magnitude; current phase; fault probability; feature distributions; insulation failure diagnosis; motor winding; no load condition; stator winding; Ellipsoids; Induction motors; Insulation; Stator windings; Synchronous motors; Vectors; Windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation and Dielectric Phenomena (CEIDP), 2011 Annual Report Conference on
Conference_Location :
Cancun
ISSN :
0084-9162
Print_ISBN :
978-1-4577-0985-2
Type :
conf
DOI :
10.1109/CEIDP.2011.6232725
Filename :
6232725
Link To Document :
بازگشت