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Information Mining for Friction Torque of Rolling Bearing for Space Applications Using Chaotic Theory

机译:基于混沌理论的空间应用滚动轴承摩擦转矩信息挖掘

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Information on the friction torque time series of rolling bearings for space applications is mined to reveal its intrinsic operative mechanism of nonlinear dynamics. Based on the chaos theory and the simulation experiment of the changing vacuum, this study studies the changing characteristic of the friction torque with the decreasing vacuum in physical space, investigates variety and complexity forms of the strange attractor of the friction torque in phase space and estimates the maximum Lyapunov exponent and the correlation dimension. As a result, the intrinsic operative mechanism of nonlinear dynamics of the rolling bearing friction torque is characterized by a nonlinear and non-monotonic trend of the estimated correlation dimension with the increasing mean of the friction torque.
机译:挖掘了用于空间应用的滚动轴承的摩擦扭矩时间序列的信息,以揭示其非线性动力学的内在作用机理。基于混沌理论和真空变化的模拟实验,研究了物理空间中真空度降低时摩擦力矩的变化特征,研究了相空间中摩擦力矩的奇异吸引子的多样性和复杂性形式,并进行了估计。最大李雅普诺夫指数和相关维数。结果,滚动轴承摩擦扭矩的非线性动力学的内在作用机理的特征在于,随着摩擦扭矩平均值的增加,估计的相关尺寸呈非线性和非单调趋势。

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