Quantification of predicted uncertainty for a data-based model

A data-based model, such as an AAKR model is widely used for monitoring the drifts of sensors in nuclear power plants. However, since a training dataset and a test dataset for a data-based model cannot be constructed with the data from all the possible states, the model uncertainty cannot be good en...

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Bibliographic Details
Main Authors: Jangbom Chai, Taeyun Kim
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S173857332030797X