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利用神经网络确定缓解给水泵瞬态损失的增益调度参数

IF 1.5 4区 工程技术 Q2 NUCLEAR SCIENCE & TECHNOLOGY
Nuclear Technology Pub Date : 2024-04-01 DOI:10.1080/00295450.2024.2312022
Ryan J. Hoover, Kenji Shimada
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引用次数: 0

摘要

核电站的瞬态缓解对于安全运行至关重要。第四次工业革命带来了以数据为基础的预测性维护和识别瞬态缓解的潜力。
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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Determination of Gain Scheduling Parameters for Loss of a Feedwater Pump Transient Mitigation Using Neural Networks
Transient mitigation for nuclear power plants is essential for safe operation. The fourth industrial revolution brings with it the potential for data-based predictive maintenance and identifying re...
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来源期刊
Nuclear Technology
Nuclear Technology 工程技术-核科学技术
CiteScore
3.40
自引率
6.70%
发文量
116
审稿时长
4-8 weeks
期刊介绍： Nuclear Technology aims to be the leading international publication reporting new information in the practical applications of nuclear science and technology. We publish technical papers, technical notes, critical reviews, rapid communications, book reviews, and letters to the editor on all phases of applications of fundamental research to nuclear technology.
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