Transfer learning with inception ResNet-based model for rolling bearing fault diagnosis

Transfer learning with inception ResNet-based model for rolling bearing fault diagnosis

With the development of information technology and sensor technology, people have paid more attention to data-driven fault diagnosis. As one of the commonly used methods in fault diagnosis, deep learning has achieved significant results. However, in engineering practice, the insufficient number of l...

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Podrobná bibliografie
Hlavní autoři: Yongbao LIU, Jun LI, Qijie LI, Qiang WANG
Médium: Článek
Jazyk:English
Vydáno: The Japan Society of Mechanical Engineers 2022-06-01
Edice:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Témata:
fault diagnosis
deep learning
convolution neural network
transfer learning
energy operator
On-line přístup:https://www.jstage.jst.go.jp/article/jamdsm/16/2/16_2022jamdsm0023/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jamdsm/16/2/16_2022jamdsm0023/_pdf/-char/en

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