Enhancing LOCA Breach Size Diagnosis with Fundamental Deep Learning Models and Optimized Dataset Construction

Enhancing LOCA Breach Size Diagnosis with Fundamental Deep Learning Models and Optimized Dataset Construction

In nuclear power plants, the loss-of-coolant accident (LOCA) stands out as the most prevalent and consequential incident. Accurate breach size diagnosis is crucial for the mitigation of LOCAs, and identifying the cause of an accident can prevent catastrophic consequences. Traditional methods mostly...

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Bibliographic Details
Main Authors: Xingyu Xiao, Ben Qi, Jingang Liang, Jiejuan Tong, Qing Deng, Peng Chen
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
deep learning
breach size estimation
lattice algorithm
fault diagnosis
loss-of-coolant accident (LOCA)
Online Access:https://www.mdpi.com/1996-1073/17/1/159

Internet

https://www.mdpi.com/1996-1073/17/1/159

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