All Stories

  1. Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise
  2. Collaboration Transfer Enabled Standard Rank Control Chart for Cross-Domain Incipient Fault Detection of Bearings With Limited Historical Data
  3. Deep Active Transfer Learning for Cross-Domain Fault Diagnosis With Limited Samples
  4. Early Failure Point Monitoring for Remaining Useful Life Estimation of Bearings Using Covariance Transfer Enabled T² Control Chart
  5. Enhanced Cross-Domain Projection Based Heterogeneous Domain Adaptation Method for Cross-Domain Fault Diagnosis
  6. Signal generation for bolt loosening detection with unbalanced datasets based on the CBAM-VAE
  7. A Novel Multi-scale Residual Active Deep Q-learning Network for Intelligent Bearing Fault Diagnosis with Small Training Data
  8. Bearing Remaining Useful Life Prediction Using Client Selection and Personalized Aggregation Enhancement in Federated Learning
  9. Multiscale Deep Attention Q Network: A New Deep Reinforcement Learning Method for Imbalanced Fault Diagnosis in Gearboxes
  10. Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning
  11. Accurate and Efficient Surrogate Model-Assisted Optimal Design of Flux Reversal Permanent Magnet Arc Motor
  12. Federated learning with network pruning and rebirth for remaining useful life prediction of engineering systems
  13. Multiscale Deep Attention Reinforcement Learning for Imbalanced Fault Diagnosis of Gearbox Under Multi-Working Conditions
  14. Bearing Remaining Useful Life Prediction Using Federated Learning With Taylor-Expansion Network Pruning
  15. Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning
  16. 1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment
  17. Effective Convolutional Transformer for Highly Accurate Planetary Gearbox Fault Diagnosis
  18. Multi-Scale Attention Based Deep Reinforcement Learning for Intelligent Fault Diagnosis of Planetary Gearbox
  19. Compound fault diagnosis of rolling bearing using PWK-sparse denoising and periodicity filtering
  20. Adaptive sparse denoising and periodicity weighted spectrum separation for compound bearing fault diagnosis
  21. LightGBM Technique and Differential Evolution Algorithm-Based Multi-Objective Optimization Design of DS-APMM
  22. Precise Positioning of Linear Motor Mover Directly From the Phase Difference Analysis
  23. Intelligent Bearing Fault Diagnosis Using Multi-Head Attention-Based CNN
  24. Bearing Fault Diagnosis Based on Visual Symmetrized Dot Pattern and CNNs
  25. An Efficient Multiobjective Design Optimization Method for a PMSLM Based on an Extreme Learning Machine
  26. Position measurement of linear motor mover based on image spectrum energy
  27. Precise Position Detection of Linear Motor Movers based on extended joint transformation correlation
  28. Bearing Degradation Evaluation Using Improved Cross Recurrence Quantification Analysis and Nonlinear Auto-Regressive Neural Network
  29. A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN
  30. Position measurement for linear motor mover based on aperiodic sinusoidal stripe image
  31. A New Rapid-Precision Position Measurement Method for a Linear Motor Mover Based on a 1-D EPCA
  32. Combined Resonant Controller and Two-Degree-of-Freedom PID Controller for PMSLM Current Harmonics Suppression
  33. Precision Position Measurement of Linear Motors Mover Based on Temporal Image Correlation
  34. Position measurement of linear electric motor rotor based on restoration of motion blur speckle
  35. A Novel Position Detection Method of Linear Motor Mover Based on Extended Phase Correlation Algorithm
  36. Optimal design of permanent magnet linear synchronous motors based on Taguchi method