A Data Driven Method for Sensor Fault Detection and Isolation in Bilinear Systems

Abstract : A method for multi-sensor Fault Detection and Isolation (FDI) is proposed for bilinear systems whose model structure is known but whose model parameters are not known. Thus, the proposed FDI method uses only available data: control signals and measured outputs and do not need an explicit model formulation. System output variables are expressed on a given time window as functions of input variables and initial unknown state. Under stability hypothesis, the influence of initial state may be neglected compared with inputs contribution. Furthermore, considering on-line outputs aggregation and orthogonal projection w.r.t. inputs, computable model-free residuals may be obtained. An academic example is provided to show the efficiency of the proposed method.
keyword : FDI
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00322660
Contributor : Komi Midzodzi Pekpe <>
Submitted on : Friday, September 26, 2014 - 9:02:40 AM
Last modification on : Saturday, March 23, 2019 - 1:24:41 AM
Long-term archiving on: Saturday, December 27, 2014 - 10:11:05 AM

File

bilinear_ECC_pekpe.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00322660, version 2

Collections

Citation

Komi Midzodzi Pekpe, Cyrille Christophe, Vincent Cocquempot. A Data Driven Method for Sensor Fault Detection and Isolation in Bilinear Systems. European Control Conference 2007, Jul 2007, Kos, Greece. pp.1-6. ⟨hal-00322660v2⟩

Share

Metrics

Record views

399

Files downloads

129