Latest Research in Machine Fault Diagnosis Techniques
29 research papers · 2026 median publication year
Top Research Topics in Machine Fault Diagnosis Techniques
- Machine Fault Diagnosis Techniques — 14 papers
- Fault Detection and Control Systems — 2 papers
- Power Transformer Diagnostics and Insulation — 2 papers
- Machine Learning — 2 papers
- Software System Performance and Reliability — 1 papers
- Kierkegaardian Philosophy and Influence — 1 papers
- Drilling and Well Engineering — 1 papers
- Gaussian Processes and Bayesian Inference — 1 papers
- Benford’s Law and Fraud Detection — 1 papers
- Intelligence, Security, War Strategy — 1 papers
Highest-Cited Papers
- Evidential Uncertainty-Aware Fault Diagnosis for Autonomous Spacecraft Health Management
- VMD-Assisted DGCM-Net: A Dual-Representation Cross-Interaction Network with Multi-SNR Training for Transformer Core Looseness Diagnosis
- Adaptive generalization: An active perception framework for robust intelligent fault diagnosis under dynamic environments
- THE LIMINAL FIELD: The Web Crumbles
- A cross-domain bearing fault diagnosis method under sample imbalance based on multi-view information cross-integration ensemble learning
- An interpretable cross-domain bearing fault diagnosis method based on domain-aware and informed-guided domain adaptation
- Transforming transformer diagnostics: Zero-shot learning powered by symptom descriptions and information fusion
- A self-supervised multi-task framework for downhole fault diagnosis in oil fields: Enhancing temporal feature learning under limited labels
- Dual-space metric fusion network for interpretable few-shot fault diagnosis of industrial processes
- Soft sensor design using domain-adversarial Gaussian processes—A transfer learning framework
- E8 Harmonic Forecast Lattice (HFL) – Phi‑Coupled Value Corridors from 240 Roots — E8 Intelligence Research
- Cross-sensor domain adaptation multi-point monitoring network for mechanical fault diagnosis
- Phi-Resonant Lattice Tunneling for Non-Local Market Arbitrage — E8 Intelligence Research
- Source-free domain adaptation framework for rotating machinery fault diagnosis by Progressive Pseudo-Labeling and Prototype-Boundary Calibration
- Semi-supervised weighted stacked autoencoder with spectral peak significance constraints for imbalanced fault diagnosis under low labeled rates
- OpensetCapsNet: A Collaborative Fault Diagnosis Framework for Emerging and Compound Faults of Machinery
- Intelligent fault diagnosis and localization of hydropower station equipment using multi-source data fusion and deep residual networks
- Semantic-guided orthogonal subspace network for class-incremental continual intelligent fault diagnosis
- A Two-Stage Multi-Source Unilateral Alignment Method for Rail Insulation Fault Localization Under Target-Domain Missing-Class Conditions
- Generative multi-domain transfer learning for fault detection in data-scarce wind turbines