The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
| Authors: | , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2019 |
| Country: | España |
| Institution: | Mondragon Unibertsitatea (UMON) |
| Repository: | eBiltegia. Repositorio Institucional de Mondragon Unibertsitatea |
| Language: | English |
| OAI Identifier: | oai:ebiltegia.mondragon.edu:20.500.11984/1476 |
| Online Access: | http://hdl.handle.net/20.500.11984/1476 |
| Access Level: | Open access |
| Keyword: | tool wear Drilling Machine learning Tool condition monitoring |
| Description not available. |