Technical Programme

Session: S04Artificial Intelligence for Maintenance Decision Support

S04-01

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

S04-02

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

S04-03

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

S04-04

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

S04-05

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

S04-07

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