摘要
专家系统用于计算机数控（ＣＮＣ）设备的故障诊断日益受到人们的重视。为了能够解决故障现象的模糊性，本文将模糊理论与Ｐｅｔｒｉ网结合，建立了模糊Ｐｅｔｒｉ网（ＦＰＮ）理论体系。引出了ＦＰＮ转移被激发规则，确定了ＦＰＮ的动态运行过程。应用ＦＰＮ能够清楚地表达与或树、产生式规则等知识表达形式。基于ＦＰＮ理论，建立了ＣＮＣ设备故障诊断专家系统（ＣＮＣＭ－ＦＤＥＳ）。该系统由知识库系统、知识库管理系统、诊断推理机制、诊断过程解释机制、故障评价、故障决策与人机界面组成。文中分别介绍了该系统的各个组成部分。
Great importance is increasingly attached to expert system for fault diagnosis of computer numerical control (CNC) machines. In order to solve fuzziness of faults,fuzzy theory is connected with Petri net in this paper,and a fuzzy Petri net (FPN) theory is established. Rules firing transitions in FPN are introduced,and dynamic running process of FPN is determined. It is possible to clearly represent knowledge expression forms,such as and-or trees,production rules,etc. by FPN. Based on the FPN theory,an expert system for fault diagnosis of CNC machines (CNCM-FDES) is found. The system consists of knowledge base system, management system for knowledge base, diagnosis inference mechanism,diagnosis process interpretation mechanism, fault evaluation, fault decision and manmachine imerface. Each component part is separately introduced.
出处
《南京航空航天大学学报》
CAS
CSCD
1995年第1期111-118,共8页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金
