A novel chatter detection method for milling using deep convolution neural networks

Regenerative chatter is harmful to machining operations, and it must be avoided to increase production efficiency. The recent success of deep learning methods in many fields also presents an excellent opportunity to advance chatter detection and its wider industrial adoption. In this work, a chatter...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2021-09, Vol.182, p.109689, Article 109689
Hauptverfasser:	Sener, Batihan, Gudelek, M. Ugur, Ozbayoglu, A. Murat, Unver, Hakki Ozgur
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Ball milling Chatter Continuous wavelet transform Cutting parameters CWT DCNN Deep learning Milling Milling (machining) Neural networks Regenerative chatter Studies Vibration Wavelet transforms
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!