针对磨损磨粒特征信息复杂的特点,将参数敏感性分析、参数区分度分析以及参数冗余度分析方法,引入对磨损磨粒显微特征的提取优化中,提取对于磨粒特征信息有用的参数,降低了磨粒识别算法的复杂性,提高了识别分析效率,为磨粒分析与识别奠定了基础。 Aiming at the characteristics of complex information of wear abrasive grains, parameter sensitivity analysis, parameter differentiation analysis and parameter redundancy analysis method are introduced into the extraction and optimization of the microscopic features of wear abrasive grains, and the parameters useful for the wear characteristics information are extracted , Reducing the complexity of the algorithm of wear recognition and improving the efficiency of identification and analysis, laying the foundation for the analysis and identification of abrasive particles.