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

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

FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults

(2020) Yun Gao et al.   IEEE Transactions on Industrial Informatics

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

(2020) Taisheng Zheng et al.   MEASUREMENT

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

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

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

Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data

(2019) Zhiyi He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network

(2019) Qingwen Guo et al.   IEEE Transactions on Industrial Informatics

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

(2018) Yuyan Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

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

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

(2018) Han Liu et al.   NEUROCOMPUTING

Vibration feature evolution of locomotive with tooth root crack propagation of gear transmission system

(2018) Zaigang Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

(2015) Thomas W. Rauber et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

EEMD method and WNN for fault diagnosis of locomotive roller bearings

(2010) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS