Phillip Koppitz | TUM – Institute of Flight System Dynamics

Contact

Phillip Koppitz M.Sc.
Institute of Flight System Dynamics Technische Universität München Boltzmannstr. 15 85748 Garching bei München Germany
Room:	MW3627 (floor plan)
Phone:	+49 89 289 16576
Fax:	+49 89 289 16058
E-mail:	phillip.koppitz@tum.de

Research Interests

Operational flight data analysis
Predictive Safety
Parameter Estimation

Lectures

Einführung in die Flugsystemdynamik und Flugregelung - Introduction to Flight System Dynamics and Flight Control
Operationelle Flugsicherheit - Operational Flight Safety
Forum Munich Aerospace

Publications

	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]
	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]
	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]
	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.
	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.
	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.
	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.
	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.
	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]
	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.
	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

	C. Zimmermann, "Identification of Hotspots for Near-Mid-Air-Collisions Based on ADS-B Data", Thesis, Technische Universität München, Garching, 2018.
	V. Soma, "Comparison and Assessment of Different Regression Methods for Generating Smoothed Models Based on Noisy Aerodynamic Data", Thesis, Technische Universität München, Garching, 2018.
	T. Kleinheinz, "Take-off Analyse basierend auf operationellen Flugdaten von Airlines", Thesis, Technische Universität München, Garching, 2018.
	B. Gruber, "Widerstandsanalyse im Reiseflug basierend auf operationellen Flugdaten unter Verwendung eines Schubmodells", Thesis, Technische Universität München, Garching, 2018.
	F. Feigl, "Combination of ADS-B and QAR Data for Mid-Air Collision Analysis", Thesis, Technische Universität München, Garching, 2018.
	Y. Tang, "Sensitivity Analysis for Parameter Estimation using Operational Flight Data", Thesis, Technische Universität München, Garching, 2017.
	J. Siegel, "Reconstruction and Safety Assessment of Aircraft Landings Based on Operational Quick Access Recorder Data", Thesis, Technische Universität München, Garching, 2017.
	N. Siamisiis, "Visualization and Analysis of Operational Airline Flight Data in Google Earth", Thesis, Technische Universität München, Garching, 2017.
	J. Kürten, "Entwicklung und Analyse von Schubmodellen anwendbar auf operationelle Flugdaten", Thesis, Technische Universität München, Garching, 2017.
	C. Killing, "Optimization of a RTS Smoother for Application on Operational Flight Data", Thesis, Technische Universität München, Garching, 2017.
	K. Kersch, "Application of Machine Learning for Detection of Safety Relevant Aspects of Aircraft Landings", Thesis, Technische Universität München, Garching, 2017.
	N. Bähr, "Controlled Flight Into Terrain Analyses In Flight Data Monitoring", Thesis, Technische Universität München, Garching, 2017.
	N. Romanow, "Analyse und Implementierung von Algorithmen zur Zeitpunktbestimmung in operationellen Flugdaten", Thesis, Technische Universität München, Garching, 2016.
	T. Baumüller, "Development of Generic Calibration Algorithms for Contributing Factors of Physics-Based Incident Models", Thesis, Technische Universität München, Garching, 2016.
	D. Sauterleute, "Clusterbasierte Flugdatenanalyse zur Untersuchung des Kraftstoffverbrauchs moderner Verkehrsflugzeuge", Thesis, Technische Universität München, Garching, 2015.