Special session on:


Fault Detection and Isolation (FDI) of Discrete Event Systems


IFAC Workshop on Dependable Control of Discrete Systems (DCDS), Bari, June 10-12, 2009



Session co-chairs:

Moamar Sayed Mouchaweh

Univeristé de Reims Champagne-Ardenne

Centre de Recherche en STIC (CReSTIC)

UFR Sciences Exactes et Naturelles

BP 1039 - 51687 REIMS cedex2

Tel : 33 (0) 3 26 91 82 17 - Fax : 33 (0) 3 26 91 31 06

Mail : moamar.sayed-mouchaweh[at]univ-reims.fr


Alexandre Philippot

Univeristé de Reims Champagne-Ardenne

Centre de Recherche en STIC (CReSTIC)

UFR Sciences Exactes et Naturelles

BP 1039 - 51687 REIMS cedex2

Tel : 33 (0) 3 26 91 32 29 - Fax : 33 (0) 3 26 91 31 06

Mail : alexandre.philippot[at]univ-reims.fr



Call for papers


The complexity of man-made systems, such as communication networks, manufacturing systems, electric power systems, …, increases rapidly with the course of time. It results from the large number of subcomponents of these systems and the large volume of information flow. This increasing complexity enhances the probability of unpredictable faults and failures.


The basic idea of Fault Detection and Isolation (FDI) is to collect sequences of observations         (symptoms or signatures), in order to decide whether or not a system is working normally (fault detection). Then if a fault is detected, FDI reports (fault isolation) which fault has occurred (deterministic diagnosis) or the most likely to have occurred (probabilistic diagnosis). Each fault that can result in a certain symptom, or sequence of observations, is considered as a possible fault candidate. 


Generally, the FDI approaches are divided into model-based and model-reasoning approaches. The model-based approaches establish a mathematical model about the normal or/and faulty behavior of a system. This model may be quantitative, expressed in e.g. differential, difference equations, or transfer functions, …, or qualitative model, e.g. a finite-state automaton, a set of logic expressions, a combination of both, a Petri Net, …. The model-reasoning approaches construct a model about the system behavior based on an initial human experience, e.g. expert systems, on a set of historical data, e.g. pattern recognition and signal processing methods, ….


The FDI community has developed different qualitative based-approaches for Discrete Event Systems (SED). This session aims to collect present approaches treating the FDI problem for DES. The goal is to investigate the complementarities and the links between them. These complementarities can lead to enhance the Fault Detection and Isolation of complex systems represented as DES.


Topics of interest will include (but are not limited to):


-Discrete event dynamic systems

-Fault detection

-Fault diagnosis

-Qualitative models (Automata, Petri Nets, …)

-Signature analysis

-Fault sequences estimation


Submissions:

If you are interested in this session, we kindly ask you to send us an acknowledgement indicating the title and the authors of the papers you wish to propose. Please send an email to moamar.sayed-mouchaweh[atuniv-reims.fr

The paper submission will then take place through the DCDS website, according to the conference deadlines