All Stories

  1. Partially domain-adaptive rolling bearing fault diagnosis based on joint weighting and metric optimization
  2. Research on digital twin-assisted bearing fault diagnosis method based on virtual-real mapping
  3. A hybrid semantic attribute-based zero-shot learning model for bearing fault diagnosis under unknown working conditions
  4. Hard task-based dual-aligned meta-transfer learning for cross-domain few-shot fault diagnosis
  5. Intelligent fault diagnosis of multi-source cross-machine bearings based on center-weighted optimal transport and class-level alignment domain adaptation
  6. Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
  7. Multiscale capsule networks with attention mechanisms based on domain-invariant properties for cross-domain lifetime prediction
  8. Intelligent fault diagnosis of double-aligned domain adaptation based on multi-structure fusion and multi-attention mechanism
  9. Optimization of rolling bearing dynamic model based on improved golden jackal optimization algorithm and sensitive feature fusion
  10. Multi-view feature fusion fault diagnosis method based on an improved temporal convolutional network
  11. A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder
  12. Intelligent fault diagnosis of partial deep transfer based on multi-representation structural intraclass compact and double-aligned domain adaptation
  13. Weak local fault diagnosis of gearboxes based on adaptive inertia factor particle swarm independent component analysis
  14. Bearing failure diagnosis at time-varying speed based on adaptive clustered fractional Gabor transform
  15. A novel method for early fault diagnosis of planetary gearbox with distributed tooth surface wear
  16. A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network
  17. A Domain Adversarial Transfer Model with Inception and Attention Network for Rolling Bearing Fault Diagnosis Under Variable Operating Conditions
  18. A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network
  19. Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
  20. Analysis of Wear Mechanism and Fault Characteristics of Planet Gears with Multiple Wear Types in Planetary Gearbox
  21. Real-time fault diagnosis and trend prediction of rolling bearings based on resampling dynamic time warping and time-domain indicator analysis
  22. Machine remaining life prediction based on multi-layer self-attention and temporal convolution network
  23. Research on a feature extraction method for local faults in planetary gearboxes based on improved dynamic time warping
  24. An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy
  25. A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery
  26. A rolling bearing fault diagnosis method based on fastDTW and an AGBDBN
  27. Fault diagnosis method of rolling bearing based on deep belief network
  28. Research of Noise Mechanism and Performance Improve of DVC Drum
  29. Time-Domain Fault Diagnosis Method of Mechanical and Electrical Equipment Based Improved Dynamic Time Wraping
  30. A Fault Diagnosis System Based on Bistable Stochastic Resonance and Dynamic Time Warping
  31. A Small Automated Enzyme Immunoassay Analyzer System Design and Implementation Based on Immunoenzymatic Techniques