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Contract / grant for group Artificial Intelligence and Inference Systems
SHERPA

CIFRE
Nov 2008 - Dec 2011

Group : Artificial Intelligence and Inference Systems
Principal investigator : 

Administrator : 
Affiliation : Université Paris XI

Diagnosability and diagnosis of driven technological systems

The objective is to make a bridge between off-line
diagnosability analysis and on-line embedded diagnosis.
The project focused on defining, implementing, testing and validating on a real case study (a fuel cell system) an all-in-one tool to design a diagnostic system for technological systems by integrating representation of the system and its potential faults, off-line diagnosability analysis and automatic generation of the on-line embedded diagnoser.

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