5 papers
Collaborative Streaming Anomaly Detection with Interactive Explanations and Ensemble Consensus
Diogo Risca, Afonso Lourenço, Ricardo Martins +1
We present a collaborative streaming anomaly detection system for high-speed data streams that explicitly integrates human analysts into the decision loop. The system combines hete…
Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring
Afonso Lourenço, Francisca Osório, Diogo Risca +1
Reliable and cost-effective maintenance is essential for railway safety, particularly at the wheel-rail interface, which is prone to wear and failure. Predictive maintenance framew…
Explainable Anomaly Detection for Industrial IoT Data Streams
Ana Rita Paupério, Diogo Risca, Afonso Lourenço +2
Industrial maintenance is being transformed by the Internet of Things and edge computing, generating continuous data streams that demand real-time, adaptive decision-making under l…
Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations
Diogo Risca, Afonso Lourenço, Goreti Marreiros
Although numerous machine learning models exist to detect issues like rolling bearing strain and deformation, typically caused by improper mounting, overloading, or poor lubricatio…
Boosting-inspired online learning with transfer for railway maintenance
Diogo Risca, Afonso Lourenço, Goreti Marreiros
The integration of advanced sensor technologies with deep learning algorithms has revolutionized fault diagnosis in railway systems, particularly at the wheel-track interface. Alth…