Towards a quantitative characterization of wear particles using image analysis and machine learning

Alizée Bouchot; Amandine Ferrieux-Paquet; Sylvie Descartes; Guilhem Mollon; Johan Debayle

doi:10.1117/12.2587647

16 July 2021 Towards a quantitative characterization of wear particles using image analysis and machine learning

Alizée Bouchot, Amandine Ferrieux-Paquet, Sylvie Descartes, Guilhem Mollon, Johan Debayle

Author Affiliations +

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 1179416 (2021) https://doi.org/10.1117/12.2587647
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

The current work proposes to move towards a quantitative characterization through advanced image processing. Four steps are followed: pin-on-disk experiments (to generate third body), image acquisition of third body particles, image processing, and extraction of quantitative characteristics of third body particles.

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Alizée Bouchot, Amandine Ferrieux-Paquet, Sylvie Descartes, Guilhem Mollon, and Johan Debayle "Towards a quantitative characterization of wear particles using image analysis and machine learning", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 1179416 (16 July 2021); https://doi.org/10.1117/12.2587647

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