Touchdown point detection for operational flight data using quality measures and a model based approach

P. Koppitz, J. Siegel, N. Romanow, L. Höhndorf, F. Holzapfel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Airlines utilize operational flight data recorded by a Quick Access Recorder (QAR) to analyze the operation of their aircraft with the intend to detect safety issues. For the analysis safety performance indicators are determined which often depend on detected time points such as the touchdown. The touchdown is a crucial time point for the risk evaluation of the landing phase of a flight. This paper presents two algorithms for the detection of the touchdown with the attempt to be as accurate as the recording frequency of accelerations allows. The first algorithm is based on commonly known approaches combined with a set of quality measures evaluating the reliability of the detected time point. The second algorithm is a novel model based approach comparing measured and modelled behavior of the recorded body fixed vertical and longitudinal acceleration. The majority of detected touchdowns of both algorithms lies in a time interval of less than 0.25 seconds.

Original languageEnglish
Title of host publicationAIAA Atmospheric Flight Mechanics
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105258
DOIs
StatePublished - 2018
EventAIAA Atmospheric Flight Mechanics Conference, 2018 - Kissimmee, United States
Duration: 8 Jan 201812 Jan 2018

Publication series

NameAIAA Atmospheric Flight Mechanics Conference, 2018

Conference

ConferenceAIAA Atmospheric Flight Mechanics Conference, 2018
Country/TerritoryUnited States
CityKissimmee
Period8/01/1812/01/18

Fingerprint

Dive into the research topics of 'Touchdown point detection for operational flight data using quality measures and a model based approach'. Together they form a unique fingerprint.

Cite this