在综述近年有关研究方法的基础上，提出了基于神经网络扩展内容寻址方式，来解决真彩色磨粒自动识别与智能分析问题的研究思路、方法、处理流程、模型和软件实现，作为以运行中机械设备磨损工况为监测对像的“智能磨损监测与故障诊断系统ＩＷＭＤＳ”实现的核心技术之一，同时给出了有关实验和初步应用结果．本文的思路方法具有一定的通用性． On the basis of summarizing the related research methods in recent years, the research ideas, methods, processing flows, models and software implementations of the method of addressing the problem of automatic identification and intelligent analysis of true color abrasive particles are proposed based on the neural network to expand the content addressing method. In the wear and tear of machinery and equipment for the monitoring object “Intelligent Wear Monitoring and Fault Diagnosis System IWMDS” to achieve one of the core technologies, given the experimental and preliminary application results. The idea of ​​this article has some generality.