DocumentCode
3202117
Title
Apply grey relational grade in optimal airplane landing gear loads calibration
Author
Wang, Jee-Ray ; Jau, Jung-Shian ; Lee, Jiam-Hwa ; Chang, Hung-Chih
Author_Institution
Dept. of Autom. Eng., Chienkuo Technol. Univ., Changhua
fYear
2007
fDate
25-28 Nov. 2007
Firstpage
296
Lastpage
300
Abstract
Airplane landing gear loads are hard to be obtained by utilizing theoretical method. Therefore, flight measurement is a good alternative in engineering. Before the flight measurement takes place, ground calibration test is required to obtain the relationship between the structural strain and load. This relationship will be used during flight measurement to transform strain data into load. Traditionally, we use regression analysis method to build this relationship with minimum error. In this paper, we present the grey relational grade to cardinal strain sensor test data. This cardinal can be used to select the representative parameters and construct a good ldquostrain-loadrdquo equation, also, a Matlab toolbox is established to effectively generate this study.
Keywords
aircraft; aircraft landing guidance; gears; strain sensors; Matlab toolbox; apply grey relational grade; cardinal strain sensor test data; flight measurement; minimum error; optimal airplane landing gear loads calibration; regression analysis method; strain-load equation; Aerospace engineering; Airplanes; Calibration; Capacitive sensors; Equations; Gears; Regression analysis; Strain measurement; Testing; Transforms; Analytic hierarchy process; Grey relational analysis; Ground calibration test; Landing gear;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-1355-3
Electronic_ISBN
978-1-4244-1356-0
Type
conf
DOI
10.1109/ICIAS.2007.4658394
Filename
4658394
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