Title :
Contamination modeling and Kalman prediction method of construction machinery hydraulic system
Author :
Zeng, Xiaoying ; Li, Yunhua
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
This paper deals with the study of modeling and prediction of the contamination in the traveling hydraulic circuit of the construction machinery. Using the number of instantaneous contamination particles as contamination transfer characteristic, the author has established the contamination model of typical traveling hydraulic system of the construction machinery. Then, a kind of method based on Kalman filtering is applied to predict system contamination condition. A numerical example to show the effectiveness of the predictive method is provided.
Keywords :
Kalman filters; condition monitoring; construction equipment; contamination; hydraulic systems; prediction theory; Kalman filtering; Kalman prediction method; construction machinery; contamination modeling; contamination transfer characteristics; instantaneous contamination particles; traveling hydraulic system; Contamination; Kalman filters; Lubricating oils; Mathematical model; Pollution measurement; Valves; Kalman prediction; contamination modeling; hydraulic system;
Conference_Titel :
Fluid Power and Mechatronics (FPM), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8451-5
DOI :
10.1109/FPM.2011.6045856
