磨损表面的稳健高斯滤波评定方法研究

磨损表面形貌的评定方法，对于磨损表面状态评定、摩擦特性的分析有着重要的作用，而表面形貌数据的滤波方法，是评定方法中的关键组成之一。采用Tukey、Hampel、IGGI和QC 4种典型稳健权函数分别与高斯滤波结合组成的稳健高斯滤波方法，对由实验得到的黏着磨损和磨料磨损盘表面采集的数据进行稳健滤波分离;通过由稳健高斯滤波与标准高斯滤波得到的三维磨损表面低频基准面的对比分析，以及从磨损表面滤波分离出的高频评定参数的影响分析，研究稳健高斯滤波的滤波稳健性和滤波效率；从滤波后的高频功率谱密度分布特性方面，进一步探讨滤波的稳健性；讨论磨损表面形貌数据中特异值与磨损特征的关系。研究表明：Tukey和Hampel稳健高斯滤波具有良好的滤波稳健性，能有效地分离磨损表面的低频评定基准和包含磨损特征的高频信息；而磨损特征主要分布在高频信息的低频段区间，其功率谱密度函数与表面磨损状态及其摩擦学特性相关。

Study on Robust Gaussian Filter Evaluation Method for Wear Surface

The evaluation method of wear surface topography plays an important role in the evaluation of the wear surface condition and the analysis of the friction characteristics,and the filtering method of the surface topography data is one of the key components of the evaluation method.Four typical robust weight functions,such as Tukey,Hampel,IGGI and QC,were combined with Gaussian filtering to separate the data collected from the surface of adhesive wear and abrasive wear.The robustness and efficiency of the robust Gaussian filter were studied by comparing the reference data of the wear surface obtained by the robust Gaussian filter and the standard Gaussian filter,and analyzing the influence of the high frequency evaluation parameters separated from the wear surface.The robustness of filtering was further discussed in terms of the distribution characteristics of high frequency power spectral density after filtering.The relationship between the outliers and the wear characteristics was discussed.The study shows that Tukey and Hampel robust Gaussian filter have good filtering robustness,and can effectively separate the reference data and high frequency information containing wear characteristics of the wear surface.The wear characteristics are mainly distributed in the low frequency band of high frequency information.The wear condition and tribological characteristics are closely related to the high frequency information power spectral density function of low frequency band.