A Method for Representation of Knowledge and Inference Based on MAS in Fault Diagnosis System

摘要：

With the development of the distributed artificial intelligence system, multi-agent system (MAS) has been applied in construction of large-scale fault diagnosis systems. Procedure of construction of the knowledge base about fault diagnosis in conventional knowledge models cannot satisfy demands of asynchronism and concurrency of the system. To solve problems mentioned above, a new WFPN model and the corresponding fuzzy reasoning algorithm are proposed in this paper. The effectiveness of this method is verified by simulation. Results show that this model has advantage in building of large-scale fuzzy fault diagnosis systems over conventional knowledge models.

关键词： WFPN Knowledge representation Fuzzy Inference Multi-agent System

作者: Zhang han Guo Ruifeng Geng cong Wang feng Chen long

作者单位: Graduate University of Chinese Academy of Sciences, Beijing, 100039, ChinaNational Engineering Resea Graduate University of Chinese Academy of Sciences, Beijing, 100039, China National Engineering Rese

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 36-40

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）