Héctor Alberto Fernández Bobadilla

1. GAN-based Data Augmentation of Railway Track Irregularities for Fault Diagnosis (2024)
   https://ieeexplore.ieee.org/document/10651483
2. Data Augmentation for Fault Classification of Railway Track Irregularities in Track-Vehicle Scale Model (2023)
   https://ieeexplore.ieee.org/document/10324866
3. Modern Tendencies in Vehicle-based Condition Monitoring of the Railway Track (2023): 
   https://ieeexplore.ieee.org/document/10041173
4. High-Order Sliding Mode Observer for Outflow Reconstruction in a Branched Pipeline (2018):
   https://ieeexplore.ieee.org/document/8511545

Verkehr und Gesellschaft (Sommer)

• Condition monitoring, predictive maintenance and optimal maintenance scheduling.
• Fault diagnosis in dynamical systems.
• Model-based, machine learning and hybrid algorithms.
• Data augmentation and signal generation / processing.
• Mechatronics, instrumentation and automatic control

1. Data Augmentation in Laboratory Vehicle-Track Model for Fault Classification Performance Improvement of Machine Learning Algorithms

2. Digital Mapping and Modelling of Railway Infrastructure for Condition Monitoring of the Track 

3. Analysis and implementation of an intelligent charging-management as SaaS-Application fort he operation of electrified busses

4. Reconstruction of Railway Track Irregularities based on Vehicle Inertial Measurements

5. Assessment of Mixed Traffic Operation in Underutilized Rail Lines in Mexico: The Case Study of the Mixed Traffic Tram-Train located in Xalapa, Veracruz, Mexico.
6. Determination of the Required Operational Modelling Schemes within the different Stages of a Railway Project: The Case Study of the Mixed Traffic Tram-Train located in Xalapa, Veracruz, Mexico.
7. Identifizierung einer Übertragungsfunktionsmodells für das Fahrzeug-Gleis-Interaktionssystem und Charakterisierung des Frequenzgangs eines Schienenfahrzeugs.
8. Modellierung und Synthese stochastischer vertikalen Gleislagefehler für Zustandsüberwachung und Fehlerdetektion und -isolation.
9. Comparative Analysis of the Level of Development and Current Application of Condition Monitoring and Predictive Maintenance Techniques across different Modes of Transportation.
10. Modelling and Synthesis of Track Irregularities for Data Augmentation using Advanced Schemes of Generative Adversarial Networks.