DocumentCode :
1976406
Title :
Prediction of the aircraft fault maintenance sorties based on least squares of linear regression
Author :
Wei, Luo
Author_Institution :
Coll. of Comput. Sci. & Commun. Eng., Gui Zhou Univ., Guiyang, China
Volume :
2
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
223
Lastpage :
225
Abstract :
This paper presents a prediction model applicable to aircraft fault maintenance sorties forecast of airlines, discusses detailedly the determine of various forecast parameters, and through the long-term contrast with the actual data, to prove the validity and accuracy of the prediction model for predicting. It has a positive meaning for saving the airline ground handling maintenance costs, and even to promote the implementation of this prediction model in the entire industry.
Keywords :
aerospace industry; aircraft; cost reduction; fault tolerance; forecasting theory; least squares approximations; maintenance engineering; prediction theory; regression analysis; aircraft fault maintenance sorties prediction; airline ground handling maintenance cost; cost savings; forecast parameter; least squares; linear regression; prediction model; Aircraft; Atmospheric modeling; Data models; Equations; Maintenance engineering; Mathematical model; Predictive models; LSE; least squares; linear regression; maintenance sorties forecasts; regression analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
Type :
conf
DOI :
10.1109/ICSSEM.2012.6340849
Filename :
6340849
Link To Document :
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