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Proceedings Papers

Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines

Matthias Schwab, Adéla Moravová, Christoph Angermann, Steinbjörn Jónsson, Christian Laubichler, Constantin Kiesling, Markus Haltmeier
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T01A004, October 16–19, 2022
Paper No: ICEF2022-89893
DOI: https://doi.org/10.1115/ICEF2022-89893
View Paper titled, Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines
Click here to open pdf in another window PDF for Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines
Topics: Artificial neural networks, Cylinders, Engines, Internal combustion engines, Wear, Reflection, Resolution (Optics), Automotive industry, Condition monitoring, Damage