Latest Research in Mechanical Fault Prognostics

Top Research Topics in Mechanical Fault Prognostics

• Machine Fault Diagnosis Techniques — 114 papers
• Machine Learning — 6 papers
• Fault Detection and Control Systems — 5 papers
• Reliability and Maintenance Optimization — 4 papers
• Railway Engineering and Dynamics — 3 papers
• Gear and Bearing Dynamics Analysis — 3 papers
• Structural Health Monitoring Techniques — 3 papers
• Systems and Control — 3 papers
• Power Transformer Diagnostics and Insulation — 2 papers
• Wave and Wind Energy Systems — 2 papers

Highest-Cited Papers

1. Evidential Uncertainty-Aware Fault Diagnosis for Autonomous Spacecraft Health Management
2. Fault diagnosis method for rolling bearings based on improved recurrence plot and EfficientNet
3. A strong noise-bearing fault diagnosis method based on A-CPO dual-stage associated parameter optimization
4. Multi-stage diffusion-based vibration signal representation for few-shot rolling bearing fault diagnosis
5. Multi-scale physics-informed reinforcement learning method for bearing fault diagnosis under data scarcity
6. Multi-sensor data-driven intelligent product interaction fault self-diagnosis system
7. HabitOSR: Research on the Habit‐Formation Mechanism and Method for Prioritized Unknown Fault Identification in Open Set Bearing Diagnosis
8. Joint fault prediction and remaining useful life estimation for large-scale mining equipment based on temporal convolutional network and multi-head self-attention
9. Progressive Cross-Model distillation with heterogeneous synergistic classifier for Few-Shot bearing fault diagnosis
10. Edge seismic phase picking: Model distillation for multimodal early-warning systems
11. CFRFN-iTransformer-KDNet: A lightweight fault diagnosis network for bearings under variable speed conditions
12. Intelligent diagnosis method for compound faults in wheelset–axlebox systems of urban rail vehicles based on the fusion of vibration signals and infrared thermal images
13. A novel heterogeneous coupled neuron network and its application in mechanical fault feature enhancement
14. Digital twin fault diagnosis method for high speed train Bogies based on HGKN-SINDy and residual graph sequences
15. Full vector adaptive swarm decomposition and its application on damage identification of yaw bearings
16. Semi-Supervised Gearbox Anomaly Detection Under Variable Operating Conditions
17. An Adaptive Fault Features Localization Method for Wind Turbine Bearing via Graph Signal Spectrum Enhancement
18. An Enhanced Hybrid Feature Integration and Boosted Learning Framework for Accurate Diagnostics of Automotive Clutch Systems
19. Industrial robot fault detection and diagnosis for intelligent maintenance: A review of data, methods, and emerging trends
20. Experimental identification and robust optimization of spindle–bearing systems with reliability constraints

Sub-Regions

• Reliability and Maintenance Optimization — 47 papers
• Gear and Bearing Dynamics Analysis — 45 papers
• Railway Engineering and Dynamics — 35 papers
• Machine Fault Diagnosis Techniques — 29 papers
• Fault Detection and Control Systems — 20 papers
• Machine Fault Diagnosis Techniques — 15 papers