Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods

Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods

The accurate characterization of wear debris is crucial for assessing the health of rotating engine components and for conducting simulation experiments in debris detection. This study proposed an intelligent recognition method for ferrography wear debris images, leveraging several improved Mask Reg...

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Bibliographic Details
Main Authors: Xiangwen Xiao, Weixuan Zhang, Qing Wang, Yuan Liu, Yishou Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Lubricants
Subjects:
instance segmentation
computer vision
wear debris analysis
ferrography
convolutional neural network
multi-feature fusion
Online Access:https://www.mdpi.com/2075-4442/13/5/208
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