Application of Recurrence Plots and VGG Deep Learning Model to the Study of Condition Monitoring of Robotic Grinding-Reference-Cited by-同舟云学术

Application of Recurrence Plots and VGG Deep Learning Model to the Study of Condition Monitoring of Robotic Grinding

Published:2023-08-29 Issue:9 Volume:24 Page:1675-1683
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Chung Kuan-Jung,Dai Cheng-Han,Chiang Tung-Chun,Xie June-Jia,Lin Ming-Tzer^ORCID

Funder

National Science and Technology Council

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12541-023-00893-6.pdf

Reference31 articles.

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4. Lerra, F., Candido, A., Liverani, E., & Fortunato, A. (2022). Prediction of micro-scale forces in dry grinding process through a FEM—ML hybrid approach. International Journal of Precision Engineering and Manufacturing, 23, 15–19.

5. Kassab, S. Y., & Khoshnaw, Y. K. (2007). The effect of cutting tool vibration on surface roughness of workpiece in dry turning operation. Engineering Technology, 25(7), 879–889.

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