Recognition of texture types of wear particles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-003-0367-y.pdf
Cited by 15 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. Research on an Intelligent Classification Algorithm of Ferrography Wear Particles Based on Integrated ResNet50 and SepViT;Lubricants;2023-12-13
2. Classifying Wear Particles Based on Texture Analysis;Congress on Smart Computing Technologies;2023
3. Texture extraction of wear particles based on improved random Hough transform and visual saliency;Engineering Failure Analysis;2020-01
4. Wear Performance of GCr15 Friction Pairs with Effect of Initial Radial Micro-Grooves;Micro and Nanosystems;2019-04-02
5. Towards the intelligent analysis of ferrograph images;Advances in Mechanism and Machine Science;2019
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