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  5. AUTOMATING THE DATA REDUCTION PROCESS FOR MORE EFFICIENT FLIGHT TESTS AND REDUCING THE TIME FROM DAYS TO HOURS
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AUTOMATING THE DATA REDUCTION PROCESS FOR MORE EFFICIENT FLIGHT TESTS AND REDUCING THE TIME FROM DAYS TO HOURS

Date Issued
December 1, 2010
Author(s)
Young, Joseph Kenneth
Advisor(s)
John F. Muratore
Additional Advisor(s)
Borja Martos, Peter U. Solies
Abstract

The University of Tennessee Space Institute’s (UTSI) active airborne science program often requires extensive modification to its fleet of aircraft in order to meet mission and customer requirements. These modifications can alter the flight characteristics of the aircraft. In order to determine if the aircraft is safe to fly after modification and to find any new flight characteristics resulting from the modifications, the flight test engineer (FTE) must plan and conduct limited flight testing on the aircraft and evaluate the resulting data to ensure safety of flight. The more efficient the data reduction and analysis process the quicker the aircraft can be released to the customer for flight operations. Flight-Data Analysis and RePorting System (F-DARPS) was developed in an attempt to decrease the time spent reducing data by automating the entire data reduction process. F-DARPS searches through a data file, determines when the aircraft is in a trim state, processes the data, and presents a limited number of performance and stability and control (S&C) parameters to the FTE in a meaningful manner. Because F-DARPS is in an early stage of development, the system requirements, architecture, code techniques, and a self case study with future revision recommendations will be discussed in detail.

Subjects

Flight Test

Data

Reduction

Automating

Aircaft

Engineering

Disciplines
Other Aerospace Engineering
Degree
Master of Science
Major
Engineering Science
Embargo Date
December 1, 2011
File(s)
Thumbnail Image
Name

Young_Joseph_Aigust2010Thesis.pdf

Size

4.79 MB

Format

Adobe PDF

Checksum (MD5)

96d876c923a67194fddf62c4bf1cbc24

Thumbnail Image
Name

Young_Joseph_Thesis_Automating_the_Data_Reduction_Process.doc

Size

8.94 MB

Format

Microsoft Word

Checksum (MD5)

c76db971ab9be6f696d59f8ea173f1cc

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