Predicting vibration signals of automobile engine using chaos theory

作     者：LIU Chun ZHANG Laibin WANG Zhaohui 

作者机构：School of Mechanical and Electronic Engineering University of Petroleum Beijing 102249 China School of Mechanical and Electronic Engineering University of Petroleum Beijing 102249 China School of Mechanical and Electronic Engineering University of Petroleum Beijing 102249 China 

出 版 物：《Science China(Physics,Mechanics & Astronomy)》 (中国科学：物理学、力学、天文学（英文版）)

年 卷 期：2004年第47卷第z1期

页      面：93-98页

核心收录：

学科分类：07[理学] 08[工学] 

基　　金：This work was supported by the National Natural Science Foundation of China(Grant Nos.50105015,50375103) Beijing Nova Program(Grant No.2003B33) 

主　　题：engine, chaos, prediction, vibration series, singular value decomposition. 

摘      要：Condition monitoring and life prediction of the vehicle engine is an important and urgent problem during the vehicle development process. The vibration signals that are closely associated with the engine running condition and its development trend are complex and nonlinear. The chaos theory is used to treat the nonlinear dynamical system recently. A novel chaos method in conjunction with SVD (singular value decomposition)denoising skill are used to predict the vibration time series. Two types of time series and their prediction errors are provided to illustrate the practical utility of the method.