Intelligent Fault Diagnosis

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

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

Partial Transfer Learning in Machinery Cross-Domain Fault Diagnostics Using Class-Weighted Adversarial Networks

Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery

Diagnosing Rotating Machines with Weakly Supervised Data Using Deep Transfer Learning

Deep Learning-Based Machinery Fault Diagnostics with Domain Adaptation Across Sensors at Different Places

A Robust Intelligent Fault Diagnosis Method for Rolling Element Bearings Based on Deep Distance Metric Learning

Domain Generalization In Rotating Machinery Fault Diagnostics Using Deep Neural Networks

Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

Deep Learning-Based Adversarial Multi-Classifier Optimization for Cross-Domain Machinery Fault Diagnostics

Intelligent Rotating Machinery Fault Diagnosis Based on Deep Learning Using Data Augmentation

Recent advances in data‑driven dynamics and control

Intelligent Ball Screw Fault Diagnosis Using A Deep Domain Adaptation Methodology

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Deep Residual Learning-Based Fault Diagnosis Method for Rotating Machinery

Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators

Deep Learning-Based Cross-Machine Health Identification Method for Vacuum Pumps with Domain Adaptation

Cross-domain gearbox diagnostics under variable working conditions with deep convolutional transfer learning

Enhancing Intelligent Cross-Domain Fault Diagnosis Performance on Rotating Machines with Noisy Health Labels

Fault Diagnosis of Ball Screw in Industrial Robots Using Non-Stationary Motor Current Signals

A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing