Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Data‐driven deep learning is effective in diagnosing known faults, but not so well when new or unknown faults occur. With unknown faults as a zero‐shot learning problem, this article proposes a method for detecting and isolating unknown faults based on knowledge distillation within a teacher–student...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400828 |
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