Contribution Imbalance and the Improvement Method in Multisensor Information Fusion-Based Intelligent Fault Diagnosis of Rotating Machinery.

A three-stage bearing transfer fault diagnosis method for large domain shift scenarios.

Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions.

Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis.

An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data.

Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis.

Neural architecture search for multi-sensor information fusion-based intelligent fault diagnosis.

Mining attention distribution paradigm: Discover gaze patterns and their association rules behind the visual image.

Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance.

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis.

Generative Adversarial Network With Dual Multiscale Feature Fusion for Data Augmentation in Fault Diagnosis.

Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis.

Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data.

A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity.

Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market.