# Simple machine learning allied with data-driven methods for monitoring tool wear in machining processes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/simple-machine-learning-allied-with-data-driven-methods-for-monitoring-tool-wear/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adalto de Farias,SERGIO LUIS RABELO DE ALMEIDA,Sérgio Delijaicov,Vanessa Seriacopi,Éd Cláudio Bordinassi |
| Citations | 39 |
| DOI | 10.1007/s00170-020-05785-x |
| Fields | Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://repositorio.fei.edu.br/handle/FEI/3500 |
| OpenAlex ID | https://openalex.org/W3046901533 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Vanessa Seriacopi](https://scholariq.org/researchers/vanessa-seriacopi/)

## Paper journal

- [The International Journal of Advanced Manufacturing Technology](https://scholariq.org/journals/the-international-journal-of-advanced-manufacturing-technology/)

## Paper primary topic

- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)

## Paper topics

- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)
- [Advanced Machining and Optimization Techniques](https://scholariq.org/topics/advanced-machining-and-optimization-techniques/)
- [Injection Molding Process and Properties](https://scholariq.org/topics/injection-molding-process-and-properties/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.