基于颗粒显微形态学分析理论，建立了一套磨损微粒显微特征描述体系。首先应用这套特征参数描述体系，提取磨损微粒形态中蕴涵的特征信息，然后综合使用自动聚类、人工神经网络和其他的人工智能分析方法进行磨损微粒的综合分析与识别。本项技术已经在航空发动机磨损故障诊断中得到了实际应用。 Based on the theory of particle microscopic morphology analysis, a set of description system of wear particle microscopic features was established. Firstly, this set of characteristic parameter description system was applied to extract the characteristic information contained in the morphology of wear particles. Then, the comprehensive analysis and identification of wear particles were carried out by using automatic clustering, artificial neural network and other artificial intelligence analysis methods. This technology has been put into practical application in the fault diagnosis of aeroengine wear.