Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification

Adaptive Information Fusion Using Evidence Theory and Uncertainty Quantification

Fault detection systems support the operator, providing insight during the decision-making while having an (unknown) fault. Data-based models are a common option for a detection system. However, systems that rely purely on data-based models are normally trained with a specific set of data, which can...

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Bibliographic Details
Main Authors: Fernando Arevalo, M. P. Christian Alison, M. Tahasanul Ibrahim, Andreas Schwung
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Data drift
ensemble classification
knowledge model
model update
information fusion
Dempster-Shafer evidence theory
Online Access:https://ieeexplore.ieee.org/document/10376147/

Internet

https://ieeexplore.ieee.org/document/10376147/

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