Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8610062/8628618/08628637.pdf?arnumber=8628637
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Time-aware deep reinforcement learning with multi-temporal abstraction;Applied Intelligence;2023-03-25
2. Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements;Annals of Nuclear Energy;2022-12
3. Machine learning for analysis of real nuclear plant data in the frequency domain;Annals of Nuclear Energy;2022-11
4. Health-State Assessment Approach Based on Unsupervised Feature Selection with Application to Nuclear Power Plant Water Screens;Lecture Notes in Control and Information Sciences - Proceedings;2022
5. Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks;Sensors;2021-12-24
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