HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision-Reference-Cited by-同舟云学术

HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision

Published:2024-08-14 Issue: Volume: Page:
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Kumar Aitha Sudheer^ORCID,Agarwal Ankit^ORCID,Jansari Vinita Gangaram^ORCID,Desai K. A.^ORCID,Chattopadhyay Chiranjoy^ORCID,Mears Laine^ORCID

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Ministry of Education, India

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10845-024-02476-2.pdf

Reference48 articles.

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3. Bergs, T., Holst, C., Gupta, P., & Augspurger, T. (2020). Digital image processing with deep learning for automated cutting tool wear detection. Procedia Manufacturing, 48, 947–958. https://doi.org/10.1016/j.promfg.2020.05.134

4. Cheng, H., Kong, X., Wang, Q., Ma, H., Yang, S., & Chen, G. (2023). Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions. Journal of Intelligent Manufacturing, 34(2), 587–613. https://doi.org/10.1007/s10845-021-01814-y

5. Coromant S. (2023). Cutting Data Calculation. Sandvik Coromant. Retrieved from June 14, 2024 from www.sandvik.coromant.com/en-us/tools/coroplus-toolguide/cutting-data-calculation?MaterialID=5853467;6416911.