Decentralized Diagnosis via Structural Analysis and Integer Programming - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes Access content directly
Conference Papers Year : 2018

Decentralized Diagnosis via Structural Analysis and Integer Programming

Abstract

Centralized fault diagnosis architectures are sometimes prohibitive for large-scale interconnected systems such as distribution systems, telecommunication networks, water distribution networks, fluid power systems. This paper presents a decentralized fault diagnosis method for continuous systems that only requires the knowledge of local models and limited knowledge of their neighboring subsystems. The notion of Fault-Driven Minimal Structurally Overdetermined (FMSO) set is used as the corner stone of the design of residual generators for the design of decentralized fault diagnosis for systems that have constraints of confidentiality, distance or limited access to some information. Binary integer linear programming (BILP) is used to optimize the choice of FMSO sets in each local subsystem.

Domains

Automatic
Fichier principal
Vignette du fichier
decentralized-diagnosis-structural.pdf (376.46 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01882324 , version 1 (26-09-2018)

Identifiers

  • HAL Id : hal-01882324 , version 1

Cite

C G Pérez-Zuñiga, Elodie Chanthery, Louise Travé-Massuyès, Javier Sotomayor, Christian Artigues. Decentralized Diagnosis via Structural Analysis and Integer Programming. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Aug 2018, Varsovie, Poland. 7p. ⟨hal-01882324⟩
79 View
168 Download

Share

Gmail Mastodon Facebook X LinkedIn More