Challenges and potentials in the classification of wear mechanisms by artificial intelligence-Reference-Cited by-同舟云学术

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Challenges and potentials in the classification of wear mechanisms by artificial intelligence

Published:2023-06 Issue: Volume:522 Page:204725
ISSN:0043-1648
Container-title:Wear
language:en
Short-container-title:Wear

Author:

Sieberg Philipp M.^ORCID,Hanke Stefanie^ORCID

Publisher

Elsevier BV

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanics of Materials,Condensed Matter Physics

Reference33 articles.

1. Influence of tribology on global energy consumption, costs and Emissions;Holmberg;Friction,2017

2. Tribology in Germany - Interdisciplinary Technology for the Reduction of CO2-emissions and the Conservation of Resources;Woydt,2019

3. Tribology and sustainable development goals;Ciulli,2022

4. Environmental Management — Life Cycle Assessment — Principles and Framework,2006

5. Greenhouse Gas Protocol (GHG Protocol),2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Can machine learning predict friction from third body morphology?;Tribology International;2024-05

2. A method to analyze wear mechanisms on worn chute lining surfaces using computer vision tools;Tribology International;2023-08

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