Investigation for defining a first functional architecture of an intelligent embedded diagnosis system

Walid Mechri (1) , Christophe Simon (1) , Benoît Iung (1) , Didier Theilliol (1) , Flavien Peysson

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper aims to investigate a frame for defining a first functional architecture of IEDS (Intelligent Embedded Diagnosis System) in the context of FDIR (Fault Detection, Isolation and Reconfiguration) and predictive maintenance. The IEDS has to be implemented on a system/component to be monitored/maintained (on board part) and should possess a lot of capabilities such as data collection, data processing, health status generation, degradation/failure identification. .. allocated either on-board or off-board in accordance to the technological constraints. Its objective is therefore not only to diagnose faults, but also to deliver relevant information/knowledge for aiding decision-making both with regards to FDIR objective or predictive maintenance. The engineering of such IEDS is not so easy to be developed because it is concerned with functional, technological and physical requirements. A frame for supporting the consistency between all these different types of requirements is not really existing today. So, we propose in this paper to investigate a modeling frame based on system engineering principles and leading to a first generic functional architecture of IEDS.

Mots clés: health monitoring; diagnostic; embedded; functional architecture; intelligent system; maintenance; Fault diagnostic

Domaines: Automatique / Robotique

Walid Mechri, Christophe Simon, Benoît Iung, Didier Theilliol, Flavien Peysson. Investigation for defining a first functional architecture of an intelligent embedded diagnosis system. 14th International Workshop on Advanced Control and Diagnosis, ACD 2017, Nov 2017, Bucharest, Romania. ⟨hal-01628908⟩