A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition

A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition

The problem of insufficient datasets has long been a hot topic in the field of prognosis and health management of rotary machines. Generative adversarial network (GAN) and other data augmentation algorithms can solve the problem of insufficient samples. However, the premise of the above method is th...

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Bibliographic Details
Main Authors: Xiaoyu Wang, Zhenyun Chu, Baokun Han, Jinrui Wang, Guowei Zhang, Xingxing Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data augmentation
fault diagnosis
large speed fluctuation
signal resolution enhancement
maximum mean discrepancy
domain adaptation
Online Access:https://ieeexplore.ieee.org/document/9159576/

Internet

https://ieeexplore.ieee.org/document/9159576/

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