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...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.126001-126010
Hauptverfasser:	Naimi, Amine, Deng, Jiamei, Doney, Paul, Sheikh-Akbari, Akbar, Shimjith, S. R., Arul, A. John
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuators Classification Classifiers Component reliability Fault detection Fault detection and diagnosis (FDD) Fault diagnosis Inductors Learning systems Machine learning Mathematical models neural network Neural networks Nuclear power plants nuclear reactor Nuclear safety Plant reliability Pressurized water reactors Sensors Support vector machines Turbines Valves
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