Crossmark

Vision-based online quality tracking in wire arc additive manufacturing via hybrid unsupervised deep learning–statistical process monitoring

Published Online: 2025-12-22

Authors

Mattera, Giulio https://orcid.org/0000-0001-8686-1474
Cao, Yue

Zhang, YuMing

Nele, Luigi
Funding

Funding for this research was provided by:

Università degli Studi di Napoli Federico II
License Information

Text and Data Mining valid from 2025-12-22

Version of Record valid from 2025-12-22
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Article History

Received: 2 September 2025

Accepted: 28 November 2025

First Online: 22 December 2025

Declarations

:

: The authors declare that they have no competing interests.

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