基于CLIPS规则和模糊推理的注塑制品缺陷诊断的研究  

Research on injection products defects diagnosis based on clips rule and fuzzy reasoning

作　　者：辛勇[1] 李双林[1] 赵果[1] 周新[1] 

机构地区：[1]南昌大学机电工程学院,南昌330031

出　　处：《塑性工程学报》2007年第5期145-149,共5页Journal of Plasticity Engineering

基　　金：教育部科技研究重点资助项目(03066);江西省自然科学基金资助项目;江西省主要学科跨世纪学术带头人资助项目(Z1815)

摘　　要：根据注塑知识的不确定性和诊断、优化的过程特点,对知识的具体表示和系统知识库的建立进行了深入的研究,采用符合CLIPS(C Language Integrated Production System)语言规范的产生式规则知识表示方式,建立了注塑制品缺陷分析专家系统的知识库。并考虑到注塑制品缺陷知识具有模糊性和不确定性的特点,实现了用模糊知识表示方法和模糊推理技术完成注塑制品缺陷的诊断。In view of the uncertain problem of injection product defects knowledge and the procedure feature of diagnosis and opti- mization, the knowledge representation and system knowledge base is studied in this paper. An injection product defects analysis expert system knowledge base is built using production rule knowledge representation accepted by CLIPS （C Language Integrated Production System） . Allowing for the injection product defects knowledge is fuzzy and uncertain, injection product defects diag- nosis is realized using fuzzy knowledge representation and fuzzy reasoning technology.

关 键 词：知识表示 模糊推理 缺陷知识库 

分 类 号：TG3[金属学及工艺—金属压力加工]