Crossmark

State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model

Crossref DOI link: https://doi.org/10.1007/s10845-022-02030-y

Published Online: 2022-10-15

Published Print: 2024-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xu, Zhicheng

Selvaraj, Vignesh https://orcid.org/0000-0002-4890-7264
Min, Sangkee https://orcid.org/0000-0002-3550-3711
Funding

Funding for this research was provided by:

Wisconsin Alumni Research Foundation (MSN237362)
License Information

Text and Data Mining valid from 2022-10-15

Version of Record valid from 2022-10-15
More Information

Article History

Received: 22 April 2022

Accepted: 14 September 2022

First Online: 15 October 2022

Document is current

Any future updates will be listed below