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Keywords: large gas engineClose
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
... show that the proposed method is able to predict the depth profiles of the cylinder liners very accurately, indicating the great potential for engine liner wear assessment using microscopic RGB images. large gas engine convolutional neural network depth prediction image translation condition...