NONLINEAR MODEL DECOMPOSITION FOR ROBUST FAULT DETECTION AND ISOLATION USING ALGEBRAIC TOOLS

Denis Berdjag 1 Cyrille Christophe 2 Vincent Cocquempot 2 Bin Jiang
2 STF - Systèmes Tolérants aux Fautes
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : This paper is concerned with fault detection and isolation in nonlinear dynamic systems. A structural decomposition of the system is made, using the criterion of robustness to unknown inputs. To achieve this decomposition, special mathematical tools are used. The algebraic nature of these tools permits a more general formulation of the residual generation problem. These mathematical tools are presented with illustrations and the unknown input-free decomposition method is described. Some aspects of the method are discussed, and solutions are proposed to improve the existing algorithm. An application on an academic example is also provided.
Document type :
Journal articles
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00198435
Contributor : Laetitia Bulté <>
Submitted on : Monday, December 17, 2007 - 12:00:54 PM
Last modification on : Saturday, March 23, 2019 - 1:24:59 AM
Long-term archiving on: Thursday, September 27, 2012 - 11:35:40 AM

File

papierIJICIC_relecture_pre-fin...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00198435, version 1

Collections

Citation

Denis Berdjag, Cyrille Christophe, Vincent Cocquempot, Bin Jiang. NONLINEAR MODEL DECOMPOSITION FOR ROBUST FAULT DETECTION AND ISOLATION USING ALGEBRAIC TOOLS. International Journal of Innovative Computing, Information and Control, ICIC International, 2006, 2 (6), pp.1337-1354. ⟨hal-00198435⟩

Share

Metrics

Record views

601

Files downloads

231