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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777951