Chatter Monitoring of Machining Center Using Head Stock Structural Vibration Analyzed with a 1D Convolutional Neural Network

Real-time chatter detection is crucial for the milling process to maintain the workpiece surface quality and minimize the generation of defective parts. In this study, we propose a new methodology based on the measurement of machine head stock structural vibration. A short-pass lifter was applied to...

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Detalles Bibliográficos
Autores principales: Jeong, Kwanghun, Seong, Yeonuk, Jeon, Jonghoon, Moon, Seongjun, Park, Junhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323503/
https://www.ncbi.nlm.nih.gov/pubmed/35891108
http://dx.doi.org/10.3390/s22145432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323503/
https://www.ncbi.nlm.nih.gov/pubmed/35891108
http://dx.doi.org/10.3390/s22145432

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