Embedding-Enhanced Graph Attention Networks for Imbalanced Industrial Fault Diagnosis
Intricate nonlinear interactions among measurements and imbalanced distribution of fault samples pose considerable challenges for accurate fault diagnosis in modern industrial processes. To address these challenges, this study proposes an embedding-enhanced graph attention network to learn efficient...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10506705/ |
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