A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images

A Neural Network Model for Material Degradation Detection and Diagnosis Using Microscopic Images

Detection and diagnosis of material degradation are of a complex and challenging task since it is presently hand-operated by a human. Therefore, it leads to misinterpretation and avoids correct classification and diagnosis. In this paper, we develop a computer-assisted detection method of material f...

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Bibliographic Details
Main Authors: Woosung Choi, Hyunsuk Huh, Bayu Adhi Tama, Gyusang Park, Seungchul Lee
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Material degradation
deep learning
creep damage
convolutional neural network
histogram equalization
boiler tube
Online Access:https://ieeexplore.ieee.org/document/8758810/

Internet

https://ieeexplore.ieee.org/document/8758810/

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