Latest Research in Fault Detection and Control Systems

Top Research Topics in Fault Detection and Control Systems

• Machine Fault Diagnosis Techniques — 15 papers
• Fault Detection and Control Systems — 3 papers
• Power System Reliability and Maintenance — 2 papers
• Artificial Intelligence — 2 papers
• Machine Learning — 2 papers
• VLSI and Analog Circuit Testing — 1 papers
• Anomaly Detection Techniques and Applications — 1 papers
• Reliability and Maintenance Optimization — 1 papers
• Advanced Data Storage Technologies — 1 papers
• HVDC Systems and Fault Protection — 1 papers

Highest-Cited Papers

1. Evidential Uncertainty-Aware Fault Diagnosis for Autonomous Spacecraft Health Management
2. Toward accurate remaining useful life and state of health estimation using reinforced graph-based physics-informed neural networks enhanced with dynamic weights
3. A Domain-Guided Feature-Fusion Framework for Ship Equipment Based on Multi-Type Features
4. A Multi-Sensor Fusion-Based Remaining Useful Life Prediction Model for UAV Engines
5. Symmetry-Aware Neural Evidential Reasoning for Aero-Engine Health-State Assessment Under Operating-Condition and Fault-Mode Asymmetries
6. DAC-TS: a decoupling adaptive cooperative approach for fault diagnosis of time series data from cross-modal sensors
7. AviChain: A Permissioned Blockchain Architecture for Tamper-Evident Aviation Maintenance Records with Integrated GRU-Based Remaining Useful Life Prediction
8. Beyond Detection Rate: What Transfers in Condition Monitoring—and What Does Not
9. Hybrid Satin Bowerbird–Egret Swarm optimization driven iterative temporal CNN for high-accuracy analog circuit fault diagnosis
10. Explainable Remaining Useful Life Prediction of Air Circuit Breakers via Physics-Informed Electro-Mechanical Feature Fusion
11. GTSFlow: Knowledge-guided spectral-topology flow matching for data-scarce fault diagnosis in wide-body mining dump trucks
12. Lyapunov–Granger Prior-Driven Spatiotemporal Anomaly Detection for Civil Aircraft Engines
13. Availability-Aware Remaining Useful Life Prediction for Aero-Engines with Unavailable Sensor Channels
14. Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis
15. Weibull Variational Autoencoder for Remaining Useful Life Prediction
16. Uncertainty-aware spatio–temporal graph modeling for joint-level fault propagation analysis and reliable diagnosis in industrial robotic mechanical systems
17. Multi-View Temporal Structure-Aware Learning for Remaining Useful Life Prediction
18. Full-memory storage data fault tolerance mechanism and rapid failure recovery system based on deep learning and neural networks
19. Computational modeling of catastrophic fault classification in Digital to Analog Converters using machine learning
20. Research on Remaining Useful Life Prediction and Uncertainty Quantification for Main Pumps in Nuclear Power Plants Based on Bayesian Transformer-LSTM