3 papers
cs.LG2025
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…
cs.LG2025
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…
cs.LG2025
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…