摘要
文章介绍了采用多层诊断方法的加工质量智能分析和诊断系统，此系统采用神经网络、基于规则的ＡＣＦＥ集和模糊推理来诊断误差源；系统建立了产品模型、加工过程模型、加工环境模型和检测模型；并采用面向对象的方法来组织信息；最后系统用箱体类零件在Ｔ１０加工中心上加工进行了验证。
This paper describes an intelligent analyses and diagnosis system for machining qualitywith multi-layered diagnosis approach. Neural network,ACFE set based on rules and thefuzzy inference are used to diagnose the error sources,The product model,the machining pro-cess model, the machining environment model and the measured model are established.Ob-ject-oriented technique is used to organize the information. Finally,the system is verified withbox-type part.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
1995年第7期60-66,共7页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金
博士点基金
