Intelligent Recognition of Ferrographic Images Combining Optimal CNN With Transfer Learning Introducing Virtual Images

Intelligent Recognition of Ferrographic Images Combining Optimal CNN With Transfer Learning Introducing Virtual Images

Ferrography analysis(FA) is an important approach to detect the wear state of mechanical equipment. Ferrographic image recognition based on deep learning needs a large number of image samples. However, the ferrographic images of mechanical equipment are difficult to obtain enough high-quality sample...

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Bibliographic Details
Main Authors: Hongwei Fan, Shuoqi Gao, Xuhui Zhang, Xiangang Cao, Hongwei Ma, Qi Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Ferrographic image
convolutional neural network
transfer learning
wear condition recognition
Online Access:https://ieeexplore.ieee.org/document/9146873/

Internet

https://ieeexplore.ieee.org/document/9146873/

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