Bearing waviness targeted characterization method based on Gaussian filter

The invention provides a bearing waviness targeted characterization method based on a Gaussian filter, which comprises the following steps: generating a random matrix through a Gaussian distribution function to represent the randomness of waviness, and defining the Gaussian filter according to parameters of to-be-simulated waviness and the like; the method comprises the steps that firstly, a defined Gaussian filter is used for generating the amplitude change of the waviness to be simulated, finally, a curve needing to describe the waviness is selected through a slicing method and screening indexes, and representation of the waviness of the bearing raceway is achieved. According to the method, the actual form of the waviness can be completely simulated, so that the characteristics of the actual waviness can be more accurately represented, and the accurate representation of the actual waviness of the rolling bearing is realized. 本发明提供一种基于高斯滤波器的轴承波纹度靶向表征方法，其通过高斯分布函数生成随机矩阵来表示波纹度的随机性，根据拟模拟波纹度的参数等定义高斯滤波器；然后，利用所定义的高