Maximization of a nuclear system availability through maintenance scheduling optimization using a genetic algorithm

被引：49

作者：

Lapa, CMF ^{[1
]}

Pereira, CMNA ^{[1
]}

Mol, ACD ^{[1
]}

机构：

[1] Comis Nacl Energia Atom, Inst Engn Nucl, Coordenacao Reatores, CREA, BR-21945970 Rio De Janeiro, Brazil

来源：

NUCLEAR ENGINEERING AND DESIGN | 2000年 / 196卷 / 02期

关键词：

D O I：

10.1016/S0029-5493(99)00295-2

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

In this payer, a method for preventive maintenance scheduling optimization of standby systems, based on genetic algorithm and probabilistic safety analysis, is described. The goal of this approach is to improve the average availability of the system through the optimization of the preventive maintenance policy. Here, the genetic modeling propitiates unconstrained optimization, allowing nonconstant intervals between maintenance, adapting them to the aging parameter of the Weibull distribution used. In order to demonstrate the effectiveness of the proposed method, it is applied to a nuclear system of a two-loop pressurized water reactor. The results: when compared with those obtained by some standard maintenance policies, reveal gains at safety level. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：219 / 231

页数：13

共 20 条

[1] Adaptive vector quantization optimized by genetic algorithm for real-time diagnosis through fuzzy sets [J].