Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study

Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study

Due to the real working conditions and data acquisition equipment, the collected working data of bearings are actually limited. Meanwhile, as the rolling bearing works in the normal state at most times, it is easy to raise the imbalance problem of fault types which restricts the diagnosis accuracy a...

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Bibliographic Details
Main Authors: Wentao Mao, Yamin Liu, Ling Ding, Yuan Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Generative adversarial network
fault diagnosis
imbalanced fault
SDAE
Online Access:https://ieeexplore.ieee.org/document/8598736/

Internet

https://ieeexplore.ieee.org/document/8598736/

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