论文部分内容阅读
为了探讨液压设备中压力波的非线性特征,构建以轴向柱塞泵为动力源的液压实验平台,采集4种油液含气量状况下管道中压力波的时域信号。根据非线性理论和信号处理方法,通过互信息法和Cao方法重构油液压力波信号相空间,利用高斯核函数法和Wolf方法计算压力波信号的关联维数和最大Lyapunov指数。实验结果表明,油液压力信号具有较强的分形特征;随着含气量的增大,油液压力信号表现出较大的随机性和混沌特征。
In order to investigate the nonlinear characteristics of pressure wave in hydraulic equipment, a hydraulic experimental platform with axial piston pump as power source was constructed and four time-domain signals of pressure wave in pipeline were collected. According to nonlinear theory and signal processing method, phase space of oil pressure wave signal is reconstructed by mutual information method and Cao method. The correlation dimension and maximum Lyapunov exponent of pressure wave signal are calculated by Gaussian kernel method and Wolf method. The experimental results show that the oil pressure signal has a strong fractal characteristic. As the gas content increases, the oil pressure signal shows a large randomness and chaos characteristics.