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Investigation of contact acoustic emission-based in-situ anomaly detection in wire arc additive manufacturing using deep unsupervised learning

Published Online: 2026-02-19

Published Print: 2026-03

Authors

Mattera, Giulio https://orcid.org/0000-0001-8686-1474
Nele, Luigi

Pan, Zengxi
Funding

Funding for this research was provided by:

Università degli Studi di Napoli Federico II
License Information

Text and Data Mining valid from 2026-02-19

Version of Record valid from 2026-02-19
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Article History

Received: 29 October 2025

Accepted: 14 January 2026

First Online: 19 February 2026

Declarations

:

: The corresponding author Giulio Mattera declares to accept responsibility for all statements listed below:

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