Using Data Confluences in a Distributed Network with Social Monitoring to Identify Fault Conditions

Author

Aitken, Jonathan M. ; Clarke, Tim

Author_Institution

Dept. of Electron., The Univ. of York Heslington

fYear

2006

fDate

20-22 Sept. 2006

Firstpage

703

Lastpage

710

Abstract

This paper discusses the potential benefits of socially attentive monitoring in multi-agent systems. A multi-agent system with this feature is shown to detect and identify when an individual within the network fails to operate correctly. The system that has been developed is capable of detecting a range of common faults such as stuck at zero by allowing communication between peers within a software agent network. Further adaption to the model allows an improvement in system response without introduction of specific control design algorithms

Keywords

computerised monitoring; fault diagnosis; multi-agent systems; software agents; control design algorithms; data confluences; distributed network; fault conditions; multiagent systems; social monitoring; socially attentive monitoring; software agent network; system response; Artificial intelligence; Communication system control; Computer science; Condition monitoring; Fault detection; Fault diagnosis; Humans; Intelligent agent; Multiagent systems; Software agents;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on

Conference_Location

Prague

Print_ISBN

0-7803-9758-4

Type

conf

DOI

10.1109/ETFA.2006.355347

Filename

4178180