Data Mining of NASA Boeing 737 Flight Data---Frequency Analysis of In-Flight Recorded Data

Authors:
Butterfield Ansel J.
Affiliations:
-
Venue:
Data Mining of NASA Boeing 737 Flight Data---Frequency Analysis of In-Flight Recorded Data
Year:
2001

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FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5

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Abstract

Data recorded during flights of the NASA Trailblazer Boeing 737 have been analyzed to ascertain the presence of aircraft structural responses from various excitations such as the engine, aerodynamic effects, wind gusts, and control system operations. The NASA Trailblazer Boeing 737 was chosen as a focus of the study because of a large quantity of its flight data records. The goal of this study was to determine if any aircraft structural characteristics could be identified from flight data collected for measuring non-structural phenomena. A number of such data were examined for spatial and frequency correlation as a means of discovering hidden knowledge of the dynamic behavior of the aircraft. Data recorded from on-board dynamic sensors over a range of flight conditions showed consistently appearing frequencies. Those frequencies were attributed to aircraft structural vibrations.