FailureDetectionMAS

From AIRWiki
Revision as of 13:12, 5 December 2012 by MatteoGarza (Talk | contribs)

Jump to: navigation, search
Fault Detection in Space Systems with Multiagent Systems using JADE
Short Description: The aim of the project is to developing a MAS (Multi Agent System) for fault detection that analyzes data coming from space systems.
Coordinator: FrancescoAmigoni (francesco.amigoni@polimi.it)
Tutor: FrancescoAmigoni (francesco.amigoni@polimi.it)
Collaborator:
Students: MatteoGallo (matteo1.gallo@mail.polimi.it), MatteoGarza (matteo.garza@mail.polimi.it)
Research Area: warning.png"AI" is not in the list of possible values (Affective Computing, Agents - Multiagent Systems - Agencies, BioSignal Analysis, Computational Intelligence and Games, Computer Vision and Image Analysis, E-Science, Machine Learning, Philosophy of Artificial Intelligence, Robotics, Social Software and Semantic Web) for this property.AI
Research Topic: Multi Agent System
Start: 05/12/2012
Status: Active

Description

Fault Detection in Space Systems with Multiagent Systems using JADE

The aim of the project is to developing a MAS (Multi Agent System) for fault detection that analyzes data coming from space systems. Every agent will implement a different approach for modeling the nominal flow of data (e.g., ARMA, neural network, ...) and will cooperate with the other agents to reach a unique response of the whole system (which will be returned to the user), when a failure is identified. The project will develop a prototype MAS written in Java using JADE framework, able to detect faults in realistic data streams.