DIAGNOSIS OF OIL-INSULATED POWER APPARATUS BY USING NEURAL-NETWORK SIMULATION

Authors
VANEGAS O MIZUNO Y NAITO K KAMIYA T
Citation
O. Vanegas et al., DIAGNOSIS OF OIL-INSULATED POWER APPARATUS BY USING NEURAL-NETWORK SIMULATION, IEEE transactions on dielectrics and electrical insulation, 4(3), 1997, pp. 290-299
Citations number
16
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on dielectrics and electrical insulation → ACNP
ISSN journal
10709878
Volume
4
Issue
3
Year of publication
1997
Pages
290 - 299
Database
ISI
SICI code
1070-9878(1997)4:3<290:DOOPAB>2.0.ZU;2-3
Abstract
One diagnostic process for oil-insulated power apparatus is based on t he analysis of the chemical composition of gases evolved by the insula ting oil. Normally this can be done only by human expert. A considerab le amount of information on the relation between chemical components a nd the faulty part of the power apparatus has been accumulated. This p aper describes a neural network system which can be applied to existin g diagnostic methods to enable analysis even by inexperienced engineer s.