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

机译：基于生成对策网络的滚动轴承不平衡故障诊断：比较研究

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Wentao Mao; Yamin Liu; Ling Ding; Yuan Li;
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1. Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis [J] . Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Mechanical systems and signal processing . 2022,第Jana期

机译：使用深度的数据合成增强的生成对抗网络用于滚动轴承不平衡故障诊断
2. Data synthesis using dual discriminator conditional generative adversarial networks for imbalanced fault diagnosis of rolling bearings [J] . Measurement . 2020,第期

机译：数据合成使用双鉴别器条件生成的对抗网络进行滚动轴承的不平衡故障诊断
3. Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks [J] . Liu Han, Zhou Jianzhong, Xu Yanhe, Neurocomputing . 2018,第NOVa13期

机译：基于生成对抗网络的深度神经网络的滚动轴承无监督故障诊断
4. Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing [C] . Qianjun Liu, Guijun Ma, Cheng Cheng International Conference on System Reliability and Safety . 2019

机译：基于生成对抗网络的滚动轴承多类不平衡故障诊断
5. A Deep Belief Network Based Approach for Bearing Fault Diagnosis [D] . Akkad, Khaled Mohammad A. 2016

机译：基于轴承故障诊断的深度信仰网络
6. A fault diagnosis method based on Auxiliary Classifier Generative AdversarialNetwork for rolling bearing [O] . Chunming Wu, Zhou Zeng 2021

机译：基于辅助分类器生成对抗的故障诊断方法滚动轴承网络
7. Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks [O] . Hongliang Zhang, Rui Wang, Ruilin Pan, 2020

机译：使用增强的生成对抗性网络的滚动轴承不平衡故障诊断

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

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