Research on Application of Multi-Agent System Information Mining Technology

2020 ◽  
Vol 2 (3) ◽  
pp. 73-77
Author(s):  
Li Juan ◽  
Chen Xingguo
2014 ◽  
Vol 960-961 ◽  
pp. 1198-1202
Author(s):  
Bin Li ◽  
Xue Bin Li ◽  
Zai Ming Yu

In view of the research in the existing forecast model and transformer DGA methods, this paper presents the collaborative model of intelligent concentration forecast of dissolved gases in transformer oil based on multi-Agent system, for improving the predictability of transformer fault. It presents the main function of each Agent, blackboard and JADE bus in this model, discusses the collaborative process of intelligent concentration forecast of dissolved gases in transformer oil based on multi-Agent system, and designs a combination forecasting architecture and a method of composition forecasting. Finally it indicates the feasibility and effectiveness of the intelligent concentration forecast model of dissolved gases in transformer oil based on multi-Agent system according to the application examples.


2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document