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Small-sample monitoring approach for abrasive belt grinding material removal rate employing multi-sensor data signal image fusion and deep regression networks

Crossref DOI link: https://doi.org/10.1007/s00170-025-17119-w

Published Online: 2026-01-04

Published Print: 2026-01

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

Authors

Wang, Nina

Pang, Wanjing

Ren, Lijuan

He, Wenhai

Zhang, Jingtong

Zhang, Guangpeng
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (52275511)

Natural Science Foundation of Shaanxi Province (2024-JC-YBQN-0416)
License Information

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-01-01
More Information

Article History

Received: 25 August 2025

Accepted: 24 November 2025

First Online: 4 January 2026

Declarations

:

: All data in this paper comes from machining grinding experiments,and does not involve ethical issues.

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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