Hierarchical representation and interpretable learning for accelerated quality monitoring in machining process-Reference-Cited by-同舟云学术

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Hierarchical representation and interpretable learning for accelerated quality monitoring in machining process

Published:2024-06 Issue: Volume:50 Page:198-212
ISSN:1755-5817
Container-title:CIRP Journal of Manufacturing Science and Technology
language:en
Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Hoang Danny^ORCID,Errahmouni Hamza^ORCID,Chen Hanning,Rachuri Sriniket,Mannan Nasir,ElKharboutly Ruby,Imani Mohsen,Chen Ruimin^ORCID,Imani Farhad

Funder

Air Force Office of Scientific Research

Office of Naval Research

Xilinx Inc

National Science Foundation

Semiconductor Research Corporation

Defense Advanced Research Projects Agency

Cisco Systems Inc

Publisher

Elsevier BV

Reference72 articles.

1. Thermal test piece for 5-axis machine tools;Wiessner;Precis Eng,2018

2. A G3 continuous tool path smoothing method for 5-axis CNC machining;Sun;CIRP J Manuf Sci Technol,2021

3. Effectiveness of CNC turning and CNC milling in machining process;Rahmatullah;Int J Econ Technol Soc Sci (Injects),2021

4. Test code for machine tools–part 1: Geometric accuracy of machines operating under no-load or quasi-static conditions;ISO,2012

5. 230-2; Test code for machine tools-Part 2: Determination of accuracy and repeatability of positioning of numerically controlled axes;ISO,2014

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