A Study on Prediction of Friction Characteristics from Speckle Patterns of Friction Surfaces Using Machine Learning
Author:
Affiliation:
1. Department of Mechanical Engineering, Graduate School of Tokyo University of Science
2. Department of Mechanical Engineering, Tokyo University of Science
Publisher
Japanese Society of Tribologists
Link
https://www.jstage.jst.go.jp/article/trol/19/4/19_334/_pdf
Reference21 articles.
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4. [4] Murashima M, Yamada T, Umehara N, Tokoroyama T, Lee WY. Novel friction stabilization technology for surface damage conditions using machine learning. Tribol Int. 2023;180: 108280. doi:10.1016/j.triboint.2023.108280
5. [5] Peng Y, Cai J, Wu T, Cao G, Kwok N, Peng Z. WP-DRnet: A novel wear particle detection and recognition network for automatic ferrograph image analysis. Tribol Int. 2020;151: 106379. doi:10.1016/j.triboint.2020.106379
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