Sensor fault diagnosis for bilinear systems using data-based residuals - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Sensor fault diagnosis for bilinear systems using data-based residuals

Abstract

The proposed data-based FDI method has the advantage to require only available data: control signals and measured outputs. The unique information that we have about the system is its structure but the parameters values are supposed to be unknown. This data-based residual method was described, by the same authors in previous publication, for linear systems. In this paper we apply this method to bilinear structure models. A particular focus is made on computational complexity reduction. It will be shown that a part of the system dynamics may be neglected with the consequence to simplify the on-line residual computation. This method is illustrated on a simulated Activated Sludge Process.

Domains

Automatic
Not file

Dates and versions

hal-00710184 , version 1 (20-06-2012)

Identifiers

  • HAL Id : hal-00710184 , version 1

Cite

Assia Hakem, Komi Midzodzi Pekpe, Vincent Cocquempot. Sensor fault diagnosis for bilinear systems using data-based residuals. 50th IEEE Conference on Decision and Control and European Control Conference : IEEE CDC/ECC 2011, Dec 2011, Orlando, United States. pp.1576 - 1582. ⟨hal-00710184⟩
80 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More