Tool Wear Condition Prediction Method Based on Sparse Identification of Nonlinear Dynamics (SINDy)
Current deep learning methods for tool wear monitoring suffer from poor interpretability and struggle to reveal the intrinsic relationship between signals and wear states. To address this issue, this paper presents an interpretable tool wear monitoring method based on Sparse Identification of Nonlin...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-06-01
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| Serie: | Lubricants |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2075-4442/14/6/242 |
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