Barycenter-Based Optimal Transport Neighborhood Learning Network for Multisource Cross-Machine Bearing Fault Diagnosis.

Optimal Transport Deep Clustering Network for Universal-Set Transfer Bearing Fault Diagnosis.

Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network.

A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model.

Electricity Management Policy Applying Data Science and Machine Learning Techniques to Improve Electricity Costs.

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions.

A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis.

Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization.

Effective Rotor Fault Diagnosis Model Using Multilayer Signal Analysis and Hybrid Genetic Binary Chicken Swarm Optimization.

Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN.

Feature Ranking and Differential Evolution for Feature Selection in Brushless DC Motor Fault Diagnosis.

An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines.

Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure.

Induction Motor Fault Classification Based on ROC Curve and t-SNE.

Diagnosis of Defective Rotor Bars in Induction Motors.

Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory.

Maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach.

Mossy fiber sprouting in pilocarpine-induced status epilepticus rat hippocampus: A correlative study of diffusion spectrum imaging and histology.