
An application of genetic algorithms to surveillance test optimization of a PWR auxiliary feedwater system
2002; Wiley; Volume: 17; Issue: 8 Linguagem: Inglês
10.1002/int.10051
ISSN1098-111X
AutoresCelso Marcelo Franklin Lapa, Cláudio M.N.A. Pereira, P.F. Frutuoso e Melo,
Tópico(s)Risk and Safety Analysis
ResumoInternational Journal of Intelligent SystemsVolume 17, Issue 8 p. 813-831 An application of genetic algorithms to surveillance test optimization of a PWR auxiliary feedwater system Celso M. F. Lapa, Celso M. F. Lapa Comissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, BrasilSearch for more papers by this authorCláudio M. N. A. Pereira, Corresponding Author Cláudio M. N. A. Pereira [email protected] Comissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, Brasil Universidade Federal do Rio de Janeiro, COPPE/PEN, Caixa Postal 68509, 21945-970, Rio de Janeiro, BrasilComissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, BrasilSearch for more papers by this authorP. F. Frutuoso e Melo, P. F. Frutuoso e Melo Universidade Federal do Rio de Janeiro, COPPE/PEN, Caixa Postal 68509, 21945-970, Rio de Janeiro, BrasilSearch for more papers by this author Celso M. F. Lapa, Celso M. F. Lapa Comissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, BrasilSearch for more papers by this authorCláudio M. N. A. Pereira, Corresponding Author Cláudio M. N. A. Pereira [email protected] Comissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, Brasil Universidade Federal do Rio de Janeiro, COPPE/PEN, Caixa Postal 68509, 21945-970, Rio de Janeiro, BrasilComissão Nacional de Energia Nuclear, IEN/DIRE, Ilha do Fundão s/n, 21945-970, P.O. Box 68550, Rio de Janeiro, BrasilSearch for more papers by this authorP. F. Frutuoso e Melo, P. F. Frutuoso e Melo Universidade Federal do Rio de Janeiro, COPPE/PEN, Caixa Postal 68509, 21945-970, Rio de Janeiro, BrasilSearch for more papers by this author First published: 15 August 2002 https://doi.org/10.1002/int.10051Citations: 22AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Nuclear power plant systems are comprised of both on-line and standby components. Standby components differ from on-line ones, as they might be unavailable due to unrevealed failures. The usual procedure employed to reveal failures before real demands is to submit the component to surveillance tests. Surveillance test policies might deal with two conflicting scenarios: the test frequency must be sufficiently high in order to reveal failures before demands, but, on the other hand, it must be low enough due to its influence on the component unavailability. Standard surveillance test policies for typical nuclear power plants usually consist of periodic tests for which the frequencies are often higher than necessary for obtaining the optimal availability. In this work, a new surveillance test policy optimization method, based on genetic algorithms, is applied to the Angra-I (Brazilian PWR) auxiliary feedwater system. The new probabilistic model has been developed in order to comprise the following features: (1) aging effects on standby components when they undergo surveillance tests; (2) revealing failures during the surveillance tests implies corrective maintenance, and, consequently, increasing outage times; (3) components are distinct (i.e., each has distinct test parameters, such as outage time, aging factors, etc); (4) tests are not necessarily periodic. The results, when compared to those obtained by standard test policies, show improved overall availability at the system level. © 2002 Wiley Periodicals, Inc. Citing Literature Volume17, Issue8Special Issue: Intelligent Systems for Process Monitoring and DiagnosisAugust 2002Pages 813-831 RelatedInformation
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