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讨论了一种滑动轴承动力系数实验识别的广义逆矩阵法，滑动轴承动力系数不是可以直接测量的物理量，它们只能从测得的转子－轴承系统的动态响应函数中采用参数识别方法求得．因此一种有效的参数识别算法在轴承动力系数的测试中起着十分重要的作用，本文提出的广义逆矩阵识别方法具有高效、简单和可靠等优点．文中给出了一个数值实例以证实本方法的有效性．
A kind of generalized inverse matrix method for experimental identification of dynamic coefficients of sliding bearings is discussed. The dynamic coefficients of sliding bearings are not directly measurable physical quantities. They can only be obtained from the measured dynamic response functions of the rotor-bearing system by using the parameter identification method. Therefore, an effective parameter identification algorithm plays an important role in the test of dynamic coefficient of bearing. The generalized inverse matrix identification method proposed in this paper has the advantages of high efficiency, simplicity and reliability. In this paper, a numerical example is given to verify the effectiveness of this method.