基于模糊Petri网推理的核动力装置专家系统研究  

Study of Nuclear Power Plant Expert System Based on Fuzzy Petri Net Reasoning

作　　者：彭俏[1] 郭立峰[1] 马杰[1] 

机构地区：[1]海军工程大学船舶与动力学院,湖北武汉430033

出　　处：《原子能科学技术》2012年第B09期356-360,共5页Atomic Energy Science and Technology

摘　　要：随着核动力装置专家系统知识库的增大,知识库的一致性检验变得困难,系统的诊断推理效率也随之下降。为了解决这一问题,将模糊Petri网用于专家系统的知识表示和推理。利用模糊Petri网的分析技术,对知识库进行校验和维护,以诊断规则的Petri网模型为基础,遵照Petri网的运行机制进行诊断推理。仿真实验表明,将模糊Petri网应用于专家系统,可有效进行知识库一致性检验和故障诊断推理。With the increase of the nuclear power plant expert system knowledge base,the consistency checking of knowledge base becomes difficult,and the diagnostic reasoning efficiency of the system also decreases.To solve this problem,fuzzy Petri net was used in knowledge representation and reasoning of the expert system.Fuzzy Petri net analysis techniques was used in calibration and maintenance of the knowledge base,and the diagnostic reasoning was carried out based on diagnostic rules and operating mechanism of Petri net.Simulation results show that the fuzzy Petri net is used in expert system,expert system can effectively carry out the knowledge base consistency test and fault diagnostic reasoning.

关 键 词：核动力装置 模糊PETRI网 专家系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]