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
Link To Document :
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