TY  - JOUR 
AU  - Maestro Prieto, José Alberto
AU  - Gil del Val, Alain
AU  - Bustillo Iglesias, Andrés
PY  - 2025
SN  - 0268-3768
UR  - https://hdl.handle.net/10259/11608
AB  - The tapping of metal components is a manufacturing task with great potential for automation, because the conditions affecting the industrial components are of limited variability. However, automation encounters two main problems: both the human- and...
LA  - eng
PB  - Springer
KW  - Semi-supervised learning
KW  - Fault detection
KW  - Tapping
KW  - Wear
KW  - Inteligencia artificial
KW  - Artificial intelligence
KW  - Industria
KW  - Industry
TI  - Semi-supervised tapping wear detection in nodular cast iron workpieces under real industrial conditions
DO  - 10.1007/s00170-025-16491-x
T2  - The International Journal of Advanced Manufacturing Technology
ER  -