滚动轴承摩擦力矩预报方法研究-机械设计及理论专业论文.docxVIP

摘要 关 键 词：滚动轴承，摩擦力矩，预报，混沌，乏信息理论 论文类型：应用研究 II 摘要 Subject: Study on Forecasting Methods of Rolling Bearing Friction Torque Specialty: Mechanical Design and Theory Name: Lv Taomei Supervisor: Xia Xintao Professor ABSTRACT The bearing friction torque is an important index of evaluating the operational sensitivity and life of rolling bearing. Presently, there are few researches on the prediction of rolling bearing friction torque. Because the friction torque values show random and unstable periodic change, using the traditional statistical theory to predict and control often can not achieve the desired results. So chaotic theory is introduced in the prediction field of rolling bearing friction torque. In the paper, chaos characteristics and local- region prediction problem of rolling bearing friction torque time series are discussed, and based on the poor information system theory, the problem of chaotic local interval prediction is discussed. Firstly, rolling bearing friction torque chaotic characteristics and identification methods are discussed. A novel method for solving phase space reconstruction parameters - the grey relation method, which synchronously calculate the optimal delay time and embedding dimension is proposed. The small data sets method is adopted to calculate the maximum of Lyapunov exponents. The results of application study on the four types of bearing have shown that the studied time series have chaotic characteristics, and there are low-dimensional strange attractors. Secondly, based on chaos identification of bearing friction torque, the grey chaos evaluation model (GCEM) is proposed. On the basis of poor information system theory and add-weighted one-rank local-region model , first, the optimum embedding dimension and optimum delay time for the phase space reconstruction are synchronously calculated with the grey relation method, and then, at different reconstruction para