A System Predictive Maintenance Framework for Advanced Reactors Using a Data-Driven Digital Twin

IF 1.2 3区工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY

Nuclear Science and Engineering Pub Date : 2024-08-02 DOI:10.1080/00295639.2024.2372515

Andy Rivas, Gregory Kyriakos Delipei, Jason Hou

引用次数: 0

Abstract

Advanced reactor designers are looking to maximize the system capacity factor to make advanced reactors more economically competitive and meet the projected energy demand. To achieve this goal, we ...

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使用数据驱动的数字孪生系统的先进反应堆系统预测性维护框架

先进反应堆设计人员希望最大限度地提高系统容量因子，使先进反应堆更具经济竞争力，并满足预计的能源需求。为了实现这一目标，我们 ...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nuclear Science and Engineering 工程技术-核科学技术

CiteScore

2.10

自引率

25.00%

发文量

审稿时长

3 months

期刊介绍： Nuclear Science and Engineering, the research journal of the American Nuclear Society, publishes articles on research and development related to peaceful utilization of nuclear energy, radiation, and alternative energy sources.