Title :
A Method for Representation of Knowledge and Inference Based on MAS in Fault Diagnosis System
Author :
Han, Zhang ; Guo Ruifeng ; Geng Cong ; Wang Feng ; Chen Long
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
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 a synchronism 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.
Keywords :
Petri nets; fault diagnosis; fuzzy reasoning; knowledge representation; multi-agent systems; MAS; distributed artificial intelligence system; fuzzy reasoning algorithm; inference representation; knowledge representation; large-scale fuzzy fault diagnosis systems; multiagent system; system asynchronism; system concurrency; weighted fuzzy Petri net; Accuracy; Cognition; Fault diagnosis; Fault trees; Numerical models; Object oriented modeling; Production; Fuzzy Inference; Knowledge representation; Multi-agent System; WFPN;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.489
