You need JavaScript to view this

A neural networks based ``trip`` analysis system for PWR-type reactors; Um sistema de analise de ``trip`` em reatores PWR usando redes neuronais

Abstract

The analysis short after automatic shutdown (trip) of a PWR-type nuclear reactor takes a considerable amount of time, not only because of the great number of variables involved in transients, but also the various equipment that compose a reactor of this kind. On the other hand, the transients`inter-relationship, intended to the detection of the type of the accident is an arduous task, since some of these accidents (like loss of FEEDWATER and station BLACKOUT, for example), generate transients similar in behavior (as cold leg temperature and steam generators mixture levels, for example). Also, the sequence-of-events analysis is not always sufficient for correctly pin point the causes of the trip. (author) 11 refs., 39 figs.
Publication Date:
Dec 31, 1993
Product Type:
Thesis/Dissertation
Report Number:
INIS-BR-3728
Reference Number:
SCA: 220400; PA: AIX-30:021831; EDB-99:049417; SN: 99002093701
Resource Relation:
Other Information: DN: 11 refs., 39 figs.; TH: Tese (M.Sc.); PBD: 1993
Subject:
22 NUCLEAR REACTOR TECHNOLOGY; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; POWER REACTORS; PWR TYPE REACTORS; REACTOR OPERATION; REACTOR SHUTDOWN; THERMAL REACTORS; TRANSIENTS
OSTI ID:
341600
Research Organizations:
Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia
Country of Origin:
Brazil
Language:
Portuguese
Other Identifying Numbers:
Other: ON: DE99622711; TRN: BR99H0133021831
Availability:
INIS; OSTI as DE99622711
Submitting Site:
BRN
Size:
156 p.
Announcement Date:

Citation Formats

Alves, Antonio Carlos Pinto Dias. A neural networks based ``trip`` analysis system for PWR-type reactors; Um sistema de analise de ``trip`` em reatores PWR usando redes neuronais. Brazil: N. p., 1993. Web.
Alves, Antonio Carlos Pinto Dias. A neural networks based ``trip`` analysis system for PWR-type reactors; Um sistema de analise de ``trip`` em reatores PWR usando redes neuronais. Brazil.
Alves, Antonio Carlos Pinto Dias. 1993. "A neural networks based ``trip`` analysis system for PWR-type reactors; Um sistema de analise de ``trip`` em reatores PWR usando redes neuronais." Brazil.
@misc{etde_341600,
title = {A neural networks based ``trip`` analysis system for PWR-type reactors; Um sistema de analise de ``trip`` em reatores PWR usando redes neuronais}
author = {Alves, Antonio Carlos Pinto Dias}
abstractNote = {The analysis short after automatic shutdown (trip) of a PWR-type nuclear reactor takes a considerable amount of time, not only because of the great number of variables involved in transients, but also the various equipment that compose a reactor of this kind. On the other hand, the transients`inter-relationship, intended to the detection of the type of the accident is an arduous task, since some of these accidents (like loss of FEEDWATER and station BLACKOUT, for example), generate transients similar in behavior (as cold leg temperature and steam generators mixture levels, for example). Also, the sequence-of-events analysis is not always sufficient for correctly pin point the causes of the trip. (author) 11 refs., 39 figs.}
place = {Brazil}
year = {1993}
month = {Dec}
}