A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals

  1. Chacón, J.L.F.
  2. de Barrena, T.F.
  3. García, A.
  4. de Buruaga, M.S.
  5. Badiola, X.
  6. Vicente, J.
Revue:
Sensors

ISSN: 1424-8220

Année de publication: 2021

Volumen: 21

Número: 17

Type: Article

DOI: 10.3390/S21175984 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus