DocumentCode
3286913
Title
Health status prediction of diesel based on chaotic theory
Author
Zhang Xiaoming ; Zhang Qinyong ; Yuan Yi ; Yan Wenjun
Author_Institution
Dept. of Mech. Eng., Acad. of Armored Force Eng., Beijing, China
fYear
2011
fDate
15-17 April 2011
Firstpage
5930
Lastpage
5932
Abstract
With regard to the limitations of Maximum Lyapunov exponent prediction methods, the paper experiments with a integrated prediction method based on equal intervals, which helps to materialize the prediction of diesel health status. The subsequent demonstrations proves that such method renders higher precision and accuracy in actual prediction.
Keywords
Lyapunov methods; chaos; nonlinear control systems; chaotic theory; diesel health status; health status prediction; integrated prediction method; maximum Lyapunov exponent prediction; Chaos; Correlation; Equations; Mathematical model; Prediction methods; Time series analysis; Vibrations; Diesel; Health Status; Integrated Prediction Method Based on Equal Intervals; Maximal Lyapunov Exponent Method;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777951
Filename
5777951
Link To Document