Title :
Based on the grey theory of a plane hydraulic system wear trend prediction methods
Author_Institution :
Sch. of Comput., Sichuan Univ. of Sci. & Eng., Zigong, China
Abstract :
Because the trend of wear increases with time lapsing, the grey system theories can accurately forecast the growing trend of the wear. This paper uses the model of GM(1,1) to forecast and analyze the wear trend of aircraft hydraulic system, and enumerates computing examples to validate the analysis results.
Keywords :
aircraft; forecasting theory; grey systems; hydraulic systems; wear; aircraft hydraulic system; grey theory; plane hydraulic system; time lapsing; wear trend prediction method; Atmospheric modeling; Computational modeling; Forecasting; Hydraulic systems; Iron; Predictive models; aircraft hydraulic system; grey model; trend forecasting; wear;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988085
