کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1730461 1521222 2006 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A niching genetic algorithm applied to a nuclear power plant auxiliary feedwater system surveillance tests policy optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
A niching genetic algorithm applied to a nuclear power plant auxiliary feedwater system surveillance tests policy optimization
چکیده انگلیسی
This article extends previous efforts on genetic algorithms (GAs) applied to a nuclear power plant (NPP) auxiliary feedwater system (AFWS) surveillance tests policy optimization. We introduce the application of a niching genetic algorithm (NGA) to this problem and compare its performance to previous results. The NGA maintains a populational diversity during the search process, thus promoting a greater exploration of the search space. The optimization problem consists in maximizing the system's average availability for a given period of time, considering realistic features such as: (i) aging effects on standby components during the tests; (ii) revealing failures in the tests implies on corrective maintenance, increasing outage times; (iii) components have distinct test parameters (outage time, aging factors, etc.) and (iv) tests are not necessarily periodic. We find that the NGA performs better than the conventional GA and the island GA due to a greater exploration of the search space.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 33, Issue 9, June 2006, Pages 753-759
نویسندگان
, , , ,