Fault-Driven Minimal Structurally Overdetermined Set in a Distributed Context

Carlos Gustavo Pérez (1, 2) , Elodie Chanthery (1) , Louise Travé-Massuyès (1) , Javier Sotomayor (2)

1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
2 PUCP - Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru

Distributed diagnosis is important for on-board systems as a way to reduce computational costs or for large geographically distributed systems that require minimizing data transfer. This paper presents a distributed diagnosis framework for continuous systems that only requires the knowledge of local models and limited knowledge of their neighboring subsystems. We introduce the notion of Fault-Driven Minimal Structurally Overdetermined (FMSO) set as the corner stone of the design of residual generators. We show that all the FMSO sets of the global system can be obtained in a distributed manner from so-called shared FMSO sets and shared CMSO sets that are computed along a structural approach for every local site.

Domaines: Automatique; Systèmes embarqués; Systèmes et contrôle [cs.SY]

Carlos Gustavo Pérez, Elodie Chanthery, Louise Travé-Massuyès, Javier Sotomayor. Fault-Driven Minimal Structurally Overdetermined Set in a Distributed Context. The 27th International Workshop on Principles of Diagnosis: DX-2016, Oct 2016, Denver, United States. ⟨hal-01392572⟩