4.7 Article

Oversampling adversarial network for class-imbalanced fault diagnosis

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Mechanical

A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis

Zhijun Ren et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Engineering, Mechanical

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Zhuyun Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Engineering, Mechanical

Residual joint adaptation adversarial network for intelligent transfer fault diagnosis

Jinyang Jiao et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Engineering, Mechanical

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

Zhuyun Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Computer Science, Artificial Intelligence

G-GANISR: Gradual generative adversarial network for image super resolution

Pourya Shamsolmoali et al.

NEUROCOMPUTING (2019)

Article Computer Science, Artificial Intelligence

Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset

Masoumeh Zareapoor et al.

PATTERN RECOGNITION LETTERS (2018)

Article Automation & Control Systems

Sparse Deep Stacking Network for Fault Diagnosis of Motor

Chuang Sun et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Automation & Control Systems

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

Min Xia et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

Review Engineering, Mechanical

Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Automation & Control Systems

Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition

Xuesong Zhang et al.

IEEE TRANSACTIONS ON CYBERNETICS (2018)

Article Computer Science, Information Systems

An Integrated Ensemble Learning Modelfor Imbalanced Fault Diagnostics and Prognostics

Zhenyu Wu et al.

IEEE ACCESS (2018)

Article Automation & Control Systems

An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors

Roozbeh Razavi-Far et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Article Engineering, Mechanical

Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine

Wentao Mao et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Automation & Control Systems

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

Yaguo Lei et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Article Acoustics

Convolutional Neural Network Based Fault Detection for Rotating Machinery

Olivier Janssens et al.

JOURNAL OF SOUND AND VIBRATION (2016)

Article Computer Science, Artificial Intelligence

A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox

Bing Li et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)