Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives

The theoretical research of generative adversarial networks: an overview

(2021) Yanchun Li et al.   NEUROCOMPUTING

A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data

(2021) Bingxu Li et al.   APPLIED ENERGY

A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis

(2021) Yafei Deng et al.   COMPUTERS IN INDUSTRY

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis

(2021) Bo Zhao et al.   JOURNAL OF MANUFACTURING SYSTEMS

A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment

(2021) Behnoush Rezaeianjouybari et al.   MEASUREMENT

Meta-learning for few-shot bearing fault diagnosis under complex working conditions

(2021) Chuanjiang Li et al.   NEUROCOMPUTING

An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network

(2021) Liang Ma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intelligent fault identification for industrial automation system via multi-scale convolutional generative adversarial network with partially labeled samples

(2020) Tongyang Pan et al.   ISA TRANSACTIONS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network

(2020) You-ren Wang et al.   APPLIED SOFT COMPUTING

Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework

(2020) Pengfei Liang et al.   KNOWLEDGE-BASED SYSTEMS

Data synthesis using dual discriminator conditional generative adversarial networks for imbalanced fault diagnosis of rolling bearings

(2020) Taisheng Zheng et al.   MEASUREMENT

Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis

(2020) Haixin Lv et al.   APPLIED SOFT COMPUTING

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

(2020) Jun Dai et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Double-level adversarial domain adaptation network for intelligent fault diagnosis

(2020) Jinyang Jiao et al.   KNOWLEDGE-BASED SYSTEMS

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

(2020) Xiang Li et al.   NEURAL NETWORKS

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

A New Method for Intelligent Fault Diagnosis of Machines based on Unsupervised Domain Adaptation

(2020) Nannan Lu et al.   NEUROCOMPUTING

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

(2020) Jingyao Wu et al.   IEEE Transactions on Industrial Informatics

Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis

(2020) Shaowei Liu et al.   MEASUREMENT

Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals

(2020) Chuan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comprehensive review on convolutional neural network in machine fault diagnosis

(2020) Jinyang Jiao et al.   NEUROCOMPUTING

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery

(2020) Weihua Li et al.   IEEE Transactions on Industrial Informatics

Improved generative adversarial network for vibration-based fault diagnosis with imbalanced data

(2020) Bingxi Zhao et al.   MEASUREMENT

Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning

(2020) Yibin Li et al.   IEEE Transactions on Industrial Informatics

Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance

(2020) Tongyang Pan et al.   IEEE Transactions on Industrial Informatics

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines

(2020) Jun Zhu et al.   IEEE Transactions on Industrial Informatics

A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks

(2020) Tianci Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning fault diagnosis method based on global optimization GAN for unbalanced data

(2019) Funa Zhou et al.   KNOWLEDGE-BASED SYSTEMS

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection

(2019) Tongyang Pan et al.   IEEE Transactions on Industrial Informatics

A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks

(2019) Yang Lyu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform

(2019) Pengfei Liang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

On the Effectiveness of Least Squares Generative Adversarial Networks

(2018) Xudong Mao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Exploiting the generative adversarial framework for one-class multi-dimensional fault detection

(2018) Spyridon Plakias et al.   NEUROCOMPUTING

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS