Machine Learning-Based Fault Diagnosis for a PWR Nuclear Power Plant

Machine Learning-Based Fault Diagnosis for a PWR Nuclear Power Plant

In the nuclear power industry, safety and reliability are of the utmost importance. Sensors and actuators are integral components in such systems, and potential faults may adversely impact system performance. It is therefore imperative to design a fault detection and diagnosis (FDD) system that achi...

Full description

Bibliographic Details
Main Authors: Amine Naimi, Jiamei Deng, Paul Doney, Akbar Sheikh-Akbari, S. R. Shimjith, A. John Arul
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fault detection and diagnosis (FDD)
nuclear reactor
machine learning
neural network
Online Access:https://ieeexplore.ieee.org/document/9967986/

Internet

https://ieeexplore.ieee.org/document/9967986/

Similar Items