Deep Convolutional Neural Network Using Transfer Learning for Fault Diagnosis

Deep Convolutional Neural Network Using Transfer Learning for Fault Diagnosis

Fault diagnosis is critical in industrial systems since early detection of problems can not only save valuable time but also reduce maintenance costs. The feature extraction process of traditional fault diagnosis is time-consuming and laborious work. Recently, with the rapid development of the deep...

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Bibliographic Details
Main Authors: Dong Zhang, Taotao Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
deep convolutional neural network
transfer learning
image classification
signal processing
Online Access:https://ieeexplore.ieee.org/document/9360798/

Internet

https://ieeexplore.ieee.org/document/9360798/

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