Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples

Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine

(2021) Rugen Wang et al.   MEASUREMENT

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data

(2021) Jianguo Miao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions

(2021) Jianguo Miao et al.   IEEE TRANSACTIONS ON RELIABILITY

Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories

(2021) Anqi He et al.   IEEE TRANSACTIONS ON RELIABILITY

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case

(2021) Xin Li et al.   IEEE Transactions on Industrial Informatics

Data augment method for machine fault diagnosis using conditional generative adversarial networks

(2020) Jinrui Wang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

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

(2020) Shaowei Liu et al.   MEASUREMENT

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Enhanced generative adversarial networks for fault diagnosis of rotating machinery with imbalanced data

(2019) Qi Li et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study

(2019) Yongbo Li et al.   IEEE TRANSACTIONS ON RELIABILITY

Hierarchically Localizing Software Faults Using DNN

(2019) Arpita Dutta et al.   IEEE TRANSACTIONS ON RELIABILITY

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning

(2018) Siyu Shao et al.   IEEE Transactions on Industrial Informatics

RWO-Sampling: A random walk over-sampling approach to imbalanced data classification

(2014) Huaxiang Zhang et al.   Information Fusion