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A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning
Carrying out status monitoring and fault-diagnosis research on cutter-wear status is of great significance for real-time understanding of the health status of Tunnel Boring Machine (TBM) equipment and reducing downtime losses. In this work, we proposed a new method to diagnose the abnormal wear stat...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459918/ https://www.ncbi.nlm.nih.gov/pubmed/36081145 http://dx.doi.org/10.3390/s22176686 |