Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface images

Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface images

Abstract Wear topography is a significant indicator of tribological behavior for the inspection of machine health conditions. An intelligent in-suit wear assessment method for random topography is here proposed. Three-dimension (3D) topography is employed to address the uncertainties in wear evaluat...

Full description

Bibliographic Details
Main Authors: Tao Shao, Shuo Wang, Qinghua Wang, Tonghai Wu, Zhifu Huang
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Friction
Subjects:
wear severity assessment
contrastive learning
subjective logic
Dempster–Shafer (D–S) evidence theory
Online Access:https://doi.org/10.1007/s40544-023-0752-8

Internet

https://doi.org/10.1007/s40544-023-0752-8

Similar Items