DocumentCode
755779
Title
Novel approach to alternator field winding interturn fault detection
Author
Auckland, D.W. ; Pickup, I.E.D. ; Shuttleworth, R. ; Wu, Y.-T. ; Zhou, C.
Author_Institution
Dept. of Electr. Eng., Manchester Univ., UK
Volume
142
Issue
2
fYear
1995
fDate
3/1/1995 12:00:00 AM
Firstpage
97
Lastpage
102
Abstract
The paper demonstrates how artificial neural networks can be used for the online detection of interturn faults on the rotor of an alternator. A simple network has been designed and tested on a laboratory micromachine. The tests have shown that by employing a neural network to predict the field current from measurements at the stator terminals, operation with a faulted rotor can be successfully identified
Keywords
alternators; automatic test equipment; automatic testing; fault location; machine testing; neural nets; power engineering computing; rotors; stators; alternator; artificial neural networks; field current; interturn fault detection; laboratory micromachine; measurements; rotor; stator terminals; testing;
fLanguage
English
Journal_Title
Generation, Transmission and Distribution, IEE Proceedings-
Publisher
iet
ISSN
1350-2360
Type
jour
DOI
10.1049/ip-gtd:19951712
Filename
372987
Link To Document