Application of Online Semi-Supervised Learning Embedded With Chaotic Dynamics in Equipment Health Prognostics
The development of artificial intelligence (AI) methods with high generalization and robustness for industrial equipment prognostics remains a significant challenge. Traditional lifespan prediction models often struggle with complex, dynamic tasks that require real-time performance, primarily due to...
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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/11037528/ |
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