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Titel:

Cluster Analysis of Fuel Flow in Operational Flight Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Koppitz, Phillip; Sauterleute, Daniel; Holzapfel, Florian
Abstract:
With fuel being one of the main cost drivers of airlines, a possibility to measure the reduction of fuel consumption during regular operational based on QAR (Quick Access Recorder) data is assessed. The fuel flow data recorded during regular operation is analyzed by clustering it based on influencing factors such as pressure altitude or Mach number. One fuel flow cluster represents a narrow point of operation for a certain combination of narrow intervals of influencing factors. This paper shows...     »
Kongress- / Buchtitel:
16th AIAA Aviation Technology, Integration, and Operations Conference
Jahr:
2016
Nachgewiesen in:
Scopus
Volltext / DOI:
doi:10.2514/6.2016-4074
 BibTeX