Technical Programme

Session: S04Artificial Intelligence for Maintenance Decision Support


An Unsupervised Machine Learning Approach to Extract Wheel and Track Health Status Indicators from Train-Borne Accelerometer Data
Benjamin Baasch, Michael Roth, Sebastian Schulz and Jörn C.Groos


Predicting State of Health and End of Life for Batteries in Hybrid Energy Buses
Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Sławomir Nowaczyk and Thorsteinn Rögnvaldsson


Agent-Based Maintenance Decision Support System for Power Grids Operating in Electricity Markets
Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini and Olga Fink


Impact of the Decision Horizon on Railway Systems Maintenance and Service Scheduling
Omar Bougacha, Christophe Varnier, Noureddine Zerhouni and Pierre Dersin


Anomaly Detection and Classification in Time Series with Kervolutional Neural Networks
Oliver Ammann, Gabriel Michau and Olga Fink


Deep Reinforcement Learning for Optimizing Operation and Maintenance of Energy Systems Equipped with PHM Capabilities
Luca Pinciroli, Piero Baraldi, Guido Ballabio, Michele Compare and Enrico Zio