Predictive Maintenance Comparison Hub
3 papers - avg viability 5.7
Top Papers
- Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams(7.0)
TimeCast predicts machine failure times by analyzing evolving multi-sensor data streams in real time.
- Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions(7.0)
Detect and anticipate faults in mechanical systems using probabilistic anomaly detection, trained only on healthy data, with uncertainty quantification for safety-critical applications.
- Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning(3.0)
A compact transformer model for providing early fault warnings in rotating machinery under varying conditions.