Deep Learning-Based Feature Extraction of Acoustic Emission Signals for Monitoring Wear of Grinding Wheels

  1. González, D.
  2. Alvarez, J.
  3. Sánchez, J.A.
  4. Godino, L.
  5. Pombo, I.
Zeitschrift:
Sensors

ISSN: 1424-8220

Datum der Publikation: 2022

Ausgabe: 22

Nummer: 18

Art: Artikel

DOI: 10.3390/S22186911 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus