"Machine Learning for Nondestructive Wear Assessment in Large Internal ..."

Christoph Angermann et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-03-23

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2103-08482
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2103-08482
Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines. CoRR abs/2103.08482 (2021)

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