A flexible optimization algorithm for GO-FLOW methodology to deal with shared signals
| Autor: | Licheng Zheng, Hongxing Lu, Jun Yang, Ming Yang, Xinyu Dai |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computational complexity theory
Computer science 020209 energy Reliability (computer networking) Probabilistic logic Boiler feedwater 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Set (abstract data type) Nuclear Energy and Engineering Flow (mathematics) Computer engineering 0103 physical sciences Path (graph theory) 0202 electrical engineering electronic engineering information engineering Retrofitting |
| Zdroj: | Annals of Nuclear Energy. 156:108200 |
| ISSN: | 0306-4549 |
| Popis: | In this paper, we propose an optimized GO-FLOW algorithm for time-dependent system reliability analysis. The optimized GO-FLOW algorithm is implemented based on recursive calculation of the complete set of minimum path sets. The algorithm is augmented with a cut-off criterion for probabilistic models to offer a much more flexible approach to achieve the trade-off between computational complexity and accuracy. The optimization method and algorithm are tested with an example case study of reliability analysis of auxiliary feedwater system in nuclear power plants. The verification results show that the retrofitting GO-FLOW method is capable of efficient processing of the shared signals and providing accuracy solutions at high speed. |
| Databáze: | OpenAIRE |
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