Contact

Phillip Koppitz
M.Sc.
Institute of Flight System Dynamics
Technische Universität München
Boltzmannstr. 15
85748 Garching bei München
Germany
Room:MW3610 (floor plan)
Phone:+49 89 289 16569
Fax:+49 89 289 16058
E-mail:phillip.koppitz@tum.de

Research Interests

  • Operational flight data analysis
  • Predictive Safety
  • Parameter Estimation

Lectures

Publications

[4] L. Höhndorf, J. Siegel, J. Sembiring, P. Koppitz, F. Holzapfel, "Reconstruction of Aircraft States During Landing Based on Quick Access Recorder Data", AIAA Journal of Guidance, Control, and Dynamics, 2017, pp. 1-6.
[3] L. Höhndorf, J. Siegel, J. Sembiring, P. Koppitz, F. Holzapfel, "Reconstruction of Aircraft Trajectories during Landing using a Rauch-Tung-Striebel Smoother, Instrument Landing System Deviation Information, and Taxiway Locations", in AIAA Atmospheric Flight Mechanics Conference, 2016. [doi]
[2] L. Höhndorf, F. Holzapfel, L. Drees, J. Sembiring, C. Wang, P. Koppitz, S. Schiele, C. Zaglauer, "Predictive Flight Data Analysis", in 3rd Data Science in Aviation Workshop, 2015.
[1] P. Koppitz, D. Sauterleute and F. Holzapfel, "Cluster Analysis of Fuel Flow in Operational Flight Data", in 16th AIAA Aviation Technology, Integration, and Operations Conference. [doi]

Supervised Student Theses

[10] Y. Tang, "Sensitivity Analysis for Parameter Estimation using Operational Flight Data", Thesis, Technische Universität München, Garching, 2017.
[9] J. Siegel, "Reconstruction and Safety Assessment of Aircraft Landings Based on Operational Quick Access Recorder Data", Thesis, Technische Universität München, Garching, 2017.
[8] N. Siamisiis, "Visualization and Analysis of Operational Airline Flight Data in Google Earth", Thesis, Technische Universität München, Garching, 2017.
[7] J. Kürten, "Entwicklung und Analyse von Schubmodellen anwendbar auf operationelle Flugdaten", Thesis, Technische Universität München, Garching, 2017.
[6] C. Killing, "Optimization of a RTS Smoother for Application on Operational Flight Data", Thesis, Technische Universität München, Garching, 2017.
[5] K. Kersch, "Application of Machine Learning for Detection of Safety Relevant Aspects of Aircraft Landings", Thesis, Technische Universität München, Garching, 2017.
[4] N. Bähr, "Controlled Flight Into Terrain Analyses In Flight Data Monitoring", Thesis, Technische Universität München, Garching, 2017.
[3] N. Romanow, "Analyse und Implementierung von Algorithmen zur Zeitpunktbestimmung in operationellen Flugdaten", Thesis, Technische Universität München, Garching, 2016.
[2] T. Baumüller, "Development of Generic Calibration Algorithms for Contributing Factors of Physics-Based Incident Models", Thesis, Technische Universität München, Garching, 2016.
[1] D. Sauterleute, "Clusterbasierte Flugdatenanalyse zur Untersuchung des Kraftstoffverbrauchs moderner Verkehrsflugzeuge", Thesis, Technische Universität München, Garching, 2015.