An Improved Algorithm of Module Data Reconciliation for Nuclear Power Plant System-Reference-Cited by-同舟云学术

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An Improved Algorithm of Module Data Reconciliation for Nuclear Power Plant System

Published:2023 Issue: Volume: Page:
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Author:

Xing Tianyang,Jiang Mudi,Huang Junlin,Han Bin,Liu Shenghui,Xu Yu,Liang Tiebo,Yan Siwei,Wang Changshuo,Tian Peiyu,Jing Yajie,Zhu Enshen,Zhu Xiaoliang

Publisher

Elsevier BV

Reference25 articles.

1. Make more digital twins;F Tao;Nature,2019

2. An intelligent fault detection and diagnosis monitoring system for reactor operational resilience: Power transient identification;M Mendoza;Progress in Nuclear Energy,2023

3. Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants;G Qian;Progress in Nuclear Energy,2022

4. A multiscale data reconciliation approach for sensor fault detection;V S Yellapu;Progress in Nuclear Energy,2021

5. Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants;L M Elshenawy;Progress in Nuclear Energy,2021

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