The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process

  1. Duo, A.
  2. Basagoiti, R.
  3. Arrazola, P.J.
  4. Aperribay, J.
  5. Cuesta, M.
Zeitschrift:
International Journal of Advanced Manufacturing Technology

ISSN: 1433-3015,  0268-3768

Datum der Publikation: 2019

Ausgabe: 102

Nummer: 5-8

Seiten: 2133-2146

Art: Artikel

DOI: 10.1007/S00170-019-03300-5 GOOGLE SCHOLAR lock_openeBiltegia editor
Datenquelle: Scopus