Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

被引：0

作者：

Papaoikonomou, Antonios ^{[1
]}

Wingate, James ^{[2
]}

Verma, Vasudha ^{[3
]}

Durrant, Aiden ^{[4
]}

Ioannou, George ^{[1
]}

Papagiannis, Tasos ^{[1
]}

Yu, Miao ^{[2
]}

Alexandridis, Georgios ^{[1
]}

Dokhane, Abdelhamid ^{[3
]}

Leontidis, Georgios ^{[4
]}

Kollias, Stefanos ^{[1
,2
]}

Stafylopatis, Andreas ^{[1
]}

机构：

[1] School of Electrical & Computer Engineering, National Technical University of Athens, Zografou,157 80, Greece

[2] University of Lincoln, Machine Learning Group, School of Computer Science, Brayford Pool, Lincoln, United Kingdom

[3] Paul Scherrer Institut, Laboratory for Reactor Physics and Thermal-Hydraulics, Forschungsstrasse 111, Villigen PSI,5232, Switzerland

[4] University of Aberdeen, Department of Computing Science & Interdisciplinary Centre for Data and AI, Aberdeen,AB24 3UE, United Kingdom

来源：

基金：

欧盟地平线“2020”;

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D O I：

暂无

中图分类号：

学科分类号：

摘要：

Convolution - Convolutional neural networks - Deep neural networks - Learning systems - Time series

引用