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基于神经网络扩展内容寻址的"彩色磨粒智能识别机"研究与实现
引用本文:李忠,方跃法,陈大融.基于神经网络扩展内容寻址的"彩色磨粒智能识别机"研究与实现[J].北京交通大学学报(自然科学版),1998,22(4):ART2.
作者姓名:李忠  方跃法  陈大融
作者单位:北方交通大学机械与电气工程学院,清华大学摩擦学国家重点实验室
摘    要:Wear particle′s automatic recognition and analysis is one of the most important but difficult technical key to realize the automatic,intelligent and systematic wear monitoring and fault diagnosis of machine equipment.This paper will introduce our ANN-based on ANN′s Extended Content Address(ECA).Due to its complicated content,in this paper we′ll detail more on the idea and experiment results than on models and theory in CWPIR.Our idea and models here can also be used in other fields of micro particle image′s auto-analysis.

关 键 词:磨损  模式识别  神经网络  故障诊断

Research and Realization of "Color Wear Particle′s Intelligent Recognition(CWPIR)" Based on ANN′s ECA
Li Zhong\ Fang Yuefa.Research and Realization of "Color Wear Particle′s Intelligent Recognition(CWPIR)" Based on ANN′s ECA[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1998,22(4):ART2.
Authors:Li Zhong\ Fang Yuefa
Abstract:
Keywords:wear  pattern recognition  ANN  fault diagnosis  
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