Auxiliary generative mutual adversarial networks for class-imbalanced fault diagnosis under small samples

[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.