Auxiliary generative mutual adversarial networks for class-imbalanced fault diagnosis under small samples
暂无分享,去创建一个
Kun Xu | Shunming Li | Jianfeng Gu | Yong Chen | Ranran Li | Mengjie Zeng | Xianglian Li
[1] Zhiyong Hu,et al. Fault diagnosis of bearings based on deep separable convolutional neural network and spatial dropout , 2022, Chinese Journal of Aeronautics.
[2] Fei Chen,et al. Autoencoder-based Representation Learning and Its Application in Intelligent Fault Diagnosis: A Review , 2021, Measurement.
[3] Bangcheng Zhang,et al. A novel combination belief rule base model for mechanical equipment fault diagnosis , 2021, Chinese Journal of Aeronautics.
[4] Xingxing Jiang,et al. Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data , 2021, Knowl. Based Syst..
[5] Xuefeng Yan,et al. Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application , 2021, IEEE Transactions on Industrial Informatics.
[6] Weihua Li,et al. Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine , 2021 .
[7] Guannan Li,et al. Data-driven fault diagnosis for residential variable refrigerant flow system on imbalanced data environments , 2021 .
[8] Pingchao YU,et al. Modal analysis strategy and nonlinear dynamic characteristics of complicated aero-engine dual-rotor system with rub-impact , 2021 .
[9] Shisheng Zhong,et al. Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network , 2020 .
[10] Zhiyong Chang,et al. A tip clearance prediction model for multistage rotors and stators in aero-engines , 2020 .
[11] Yi Zhang,et al. Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis , 2020, Neurocomputing.
[12] Hongpo Zhang,et al. An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset , 2020, Comput. Networks.
[13] Yu Yang,et al. Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data , 2020 .
[14] Weiwei Qian,et al. A novel class imbalance-robust network for bearing fault diagnosis utilizing raw vibration signals , 2020 .
[15] Yan Song,et al. Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network , 2020, IEEE Transactions on Industrial Informatics.
[16] Jinrui Wang,et al. A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples , 2020, Neurocomputing.
[17] Junhong Zhao,et al. Learning imbalanced datasets based on SMOTE and Gaussian distribution , 2020, Inf. Sci..
[18] Konstantinos Gryllias,et al. Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network , 2020, IEEE Transactions on Industrial Informatics.
[19] Amir F. Atiya,et al. A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance , 2019, Inf. Sci..
[20] Feng Lu,et al. Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine , 2019, Chinese Journal of Aeronautics.
[21] Shunming Li,et al. A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions , 2019, Measurement.
[22] Xining Zhang,et al. Fault diagnosis of rolling bearing under fluctuating speed and variable load based on TCO Spectrum and Stacking Auto-encoder , 2019, Measurement.
[23] Ruqiang Yan,et al. Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning , 2019, IEEE Transactions on Industrial Informatics.
[24] Shunming Li,et al. Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines , 2019, Neurocomputing.
[25] Jun Wang,et al. An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition , 2018, Neurocomputing.
[26] William A. Rivera. Noise Reduction A Priori Synthetic Over-Sampling for class imbalanced data sets , 2017, Inf. Sci..
[27] Trung Le,et al. Dual Discriminator Generative Adversarial Nets , 2017, NIPS.
[28] Aaron C. Courville,et al. Generative Adversarial Nets , 2014, NIPS.
[29] Jie Liu,et al. Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet , 2022, Mechanical Systems and Signal Processing.
[30] Shunming Li,et al. A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism , 2021, Knowledge-Based Systems.