Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data

Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data

Intelligent diagnosis is an important manner for mechanical fault diagnosis in the era of industrial big data, and deep network has received extensive attention in this field because of automatically learning features and classifying entered samples. As a classic deep learning model, Convolutional N...

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Bibliographic Details
Main Authors: Xun Dong, Hongli Gao, Liang Guo, Kesi Li, Andongzhe Duan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cost adaptive
convolutional network
imbalanced data
mechanical intelligent fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9058686/

Internet

https://ieeexplore.ieee.org/document/9058686/

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