DocumentCode
2659629
Title
Probabilistic training procedure for neural network based power system diagnostic software
Author
Glinker, E.S. ; Mansour, S.Y.
Author_Institution
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, Ont., Canada
Volume
2
fYear
1998
fDate
24-28 May 1998
Firstpage
577
Abstract
This paper outlines a procedure which uses a power system description language to train a neural network to generate conditional probabilities for device failures. The proposed method minimizes the need for the use of explicit conditional statements
Keywords
failure analysis; learning (artificial intelligence); neural nets; power distribution protection; power system analysis computing; probability; conditional probabilities; device failure probability; distribution system protective devices; neural network based power system diagnostic software; power system description language; probabilistic training procedure; Artificial neural networks; Bayesian methods; Neural networks; Power distribution; Power generation; Power system protection; Power systems; Probability; Software systems; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location
Waterloo, Ont.
ISSN
0840-7789
Print_ISBN
0-7803-4314-X
Type
conf
DOI
10.1109/CCECE.1998.685562
Filename
685562
Link To Document