Towards the automated classification system of worn surfaces
Wear dictates the machine performance, its reliability, and ultimately its lifetime. It is therefore important to know what is the wear status of the machine. The assessment can be done visually which is costly and not always possible (e.g. engines). Therefore, the development of an automated analys...
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Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part J, Journal of engineering tribology Journal of engineering tribology, 2020-08, Vol.234 (8), p.1265-1274, Article 1350650119881861 |
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Format: | Artikel |
Sprache: | eng |
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