A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts

Data-driven chatter detection techniques avoid complex physical modeling and provide the basis for industrial applications of cutting process monitoring. Among them, feature extraction is the key step of chatter detection, which can compensate for the accuracy disadvantage of machine learning algori...

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Detalles Bibliográficos
Autores principales: Wang, Runqiong, Song, Qinghua, Liu, Zhanqiang, Ma, Haifeng, Gupta, Munish Kumar, Liu, Zhaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434337/
https://www.ncbi.nlm.nih.gov/pubmed/34502670
http://dx.doi.org/10.3390/s21175779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434337/
https://www.ncbi.nlm.nih.gov/pubmed/34502670
http://dx.doi.org/10.3390/s21175779

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