4 papers
Automating Traffic Monitoring with SHM Sensor Networks via Vision-Supervised Deep Learning
Hanshuo Wu, Xudong Jian, Christos Lataniotis +3
Bridges, as critical components of civil infrastructure, are increasingly affected by deterioration, making reliable traffic monitoring essential for assessing their remaining serv…
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery +3
Partially Observable Markov Decision Processes (POMDPs) can model complex sequential decision-making problems under stochastic and uncertain environments. A main reason hindering t…
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery +3
Structural Health Monitoring (SHM) describes a process for inferring quantifiable metrics of structural condition, which can serve as input to support decisions on the operation an…
Vold-Kalman Filter Order tracking of Axle Box Accelerations for Railway Stiffness Assessment
Cyprien Amadis Hoelzl, Vasilis Dertimanis, Lucian Ancu +2
Intelligent data-driven monitoring procedures hold enormous potential for ensuring safe operation and optimal management of the railway infrastructure in the face of increasing dem…