Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

Chatter detection has become a prominent subject of interest due to its effect on cutting tool life, surface finish and spindle of machine tool. Most of the existing methods in chatter detection literature are based on signal processing and signal decomposition. In this study, we use topological fea...

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Bibliographic Details
Published in:	arXiv.org
Main Authors:	Yesilli, Melih C, Tymochko, Sarah, Khasawneh, Firas A, Munch, Elizabeth
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 27.10.2019
Subjects:	Algorithms Artificial intelligence Chatter Computer simulation Cutting parameters Cutting tools Machine learning Machine tool industry Machine tools Milling (machining) Signal processing Supervised learning Surface finish Tool life Topology Vibration
ISSN:	2331-8422
Online Access:	Get full text
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