Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process

Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process

To ensure the safety of nuclear power production, nuclear power plants deploy numerous sensors to monitor various physical indicators during production, enabling the early detection of anomalies. Efficient anomaly detection relies on complete sensor data. However, compared to conventional energy sou...

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Bibliographic Details
Main Authors: Linyu Liu, Shiqiao Liu, Shuan He, Kui Xu, Yang Lan, Huajian Fang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
nuclear power production
anomaly detection
incomplete time series
neural normal stochastic process
Online Access:https://www.mdpi.com/1424-8220/25/14/4358
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