Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes

Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes

Industrial fault diagnosis faces unique challenges with high-dimensional data, long time-series, and complex couplings, which are characterized by significant information entropy and intricate information dependencies inherent in datasets. Traditional image processing methods are effective for local...

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Bibliographic Details
Main Authors: Zhong Zhang, Ming Xu, Song Wang, Xin Guo, Jinfeng Gao, Aiguo Patrick Hu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Entropy
Subjects:
fault diagnosis
vision transformer
feature fusion
Tennessee Eastman process
Online Access:https://www.mdpi.com/1099-4300/27/2/181
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