摘要
关联维是描述非线性动力系统复杂性的一个量化指标,它从动力系统行为的时间演化序列计算得来,它对系统初态、故障引发的动力特性和环境因素等方面具有敏感性。本文利用重构相空间方法计算关联维,并探讨嵌入维数、采样频率、环境噪声和非线性藕合等因素对计算结果的影响,最后应用关联维来刻划不同的旋转机组振动故障类型。
Correlation dimension obtained by calculating the time e-Volving series of dynamical system's action is a quantizod index thatdescribes the complexity of nonlinear dynamical systems. And it issensitive to the initial state of system, dynamical characteristicscaused by faults, environmental factors, and that of things. This pa-per presents the method of reconstructing phase space to work outcorrelation dimension, and further discusses the effects which somefactors, such as the number of embedded dimension, sampling fre-quency, environmental noise and nonlinear coupling, have on calcu-lating result. Finally, this paper characterizes various fault types ofrotating machinery vibration via correlation dimension.
出处
《机电工程技术》
2002年第6期51-53,59,共4页
Mechanical & Electrical Engineering Technology
关键词
关联维
重构相空间法
旋转机组
故障类型
分形
振动
Correlation dimension
the method of reconstructingphase space
rotating machinery
fault types
