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Sigma2 project
Signals, models and algorithms

Group head : François LeGland

Foreword : The Sigma2 project is now terminated, and three offspring projects or future projects have been recently created (listed below by alphabetical order)

[ Presentation | Members | Publications | Software]

The objectives of the Sigma2 project are the design, analysis, and implementation of statistical model-based algorithms, for identification, monitoring and diagnosis of complex industrial systems. The models considered are on one hand the stochastic state-space models of automatic control, with increasing emphasis on nonlinear models, and on the other hand some partially stochastic models (HMM, Petri nets, nets of automata, etc.) on discrete structures (trees, graphs, etc.), e.g. to model distributed discrete events systems. The major methodological contributions of the project, which make the scientific background for the current research activities, consist of the use of the local asymptotic approach for monitoring and diagnosis of continuous systems, the design of particle filters for the statistical inference of HMM, and the design of distributed Viterbi-like state reconstruction algorithms, for monitoring and diagnosis of distributed discrete events systems. The main applications considered are monitoring and diagnosis of vibrating mechanical structures (automobile, aerospace, civil engineering), monitoring and diagnosis of automobile subsystems, and fault diagnosis in telecommunications networks.

Sigma2 is a joint INRIA / CNRS project.

Research themes

For more information, see the 2003 activity report.
Signal-Image seminar, ASPI working group  [in French].

Industrial and academic relations

François LeGland
+33 (0) 2 99 84 73 62