Contact

Phillip Koppitz
M.Sc.
Phone:+49 89 289 16569
E-mail:phillip.koppitz@tum.de

Research Interests

  • Operational flight data analysis
  • Predictive Safety
  • Parameter Estimation

Lectures

Publications

[11] X. Wang, J. Sembiring, P. Koppitz, L. Höhndorf, C. Wang, F. Holzapfel, "Modeling of the Aircraft's Low Energy State During the Final Approach Phase Using Operational Flight Data", in AIAA Scitech 2019 Forum. [doi]
[10] P. Koppitz, C. Wang, L. Höhndorf, J. Sembiring, X. Wang, F. Holzapfel, "From Raw Operational Flight Data to Incident Probabilities using Subset Simulation and a Complex Thrust Model", in AIAA Scitech 2019 Forum. [doi]
[9] P. Koppitz, J. Siegel, N. Romanow, L. Höhndorf, F. Holzapfel, "Touchdown Point Detection for Operational Flight Data using Quality Measures and a Model Based Approach", in 2018 AIAA Atmospheric Flight Mechanics Conference. [doi]
[8] P. Koppitz, J. Kürten and F. Holzapfel, "Thrust Models Based on Operational Flight Data Used in Parameter Estimation for Safety Analyses", in International Council of the Aeronautical Sciences 2018.
[7] L. Höhndorf, C. Wang, P. Koppitz, S. Weiß, S. Olmos, C. Czado, F. Holzapfel, "Integration of Vine Copula Dependence Structures into Subset Simulation for Accident Probability Quantifications", in ICAS 31st Congress of the International Council of the Aeronautical Science, 2018.
[6] L. Höhndorf, T. Nagler, P. Koppitz, C. Czado, F. Holzapfel, "Statistical Dependence Analyses of Operational Flight Data Used for Landing Reconstruction Enhancement", in 22nd Air Transport Research Society World Conference 2018.
[5] 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.
[4] L. Drees, J. Siegel, P. Koppitz, F. Holzapfel, "Quantifying probabilities of exceeding the maximum Mach number in cruise flight using operational flight data", in European Safety and Reliability Conference (ESREL), 2017.
[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

[15] C. Zimmermann, "Identification of Hotspots for Near-Mid-Air-Collisions Based on ADS-B Data", Thesis, Technische Universität München, Garching, 2018.
[14] V. Soma, "Comparison and Assessment of Different Regression Methods for Generating Smoothed Models Based on Noisy Aerodynamic Data​", Thesis, Technische Universität München, Garching, 2018.
[13] T. Kleinheinz, "Take-off Analyse basierend auf operationellen Flugdaten von Airlines", Thesis, Technische Universität München, Garching, 2018.
[12] B. Gruber, "Widerstandsanalyse im Reiseflug basierend auf operationellen Flugdaten unter Verwendung eines Schubmodells", Thesis, Technische Universität München, Garching, 2018.
[11] F. Feigl, "Combination of ADS-B and QAR Data for Mid-Air Collision Analysis", Thesis, Technische Universität München, Garching, 2018.
[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.