Skip to Main content Skip to Navigation
Reports

Optimal Input Design for Subspace-Based Fault Detection and Identification

Alireza Esna Ashari 1 Laurent Mevel 1 
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : This study focuses on input design for subspace based fault detection and identification methods and investigates its possible advantages over using noise inputs. In several real applications the noise available in environment is the only input to the system and in some cases produce low quality output data for subspace identification and fault detection purposes. Therefore, model order may be underestimated. Due to the nature of subspace based methods, some modes of the system may not appear in the response as the input is not strong enough to excite these modes. In order to improve the result, a method is suggested in literature, that is to use "rotated" input. The rotated input design is proposed in several papers to apply to "ill conditioned systems" in which the vector of different outputs are typically close to collinearity if a white noise is used. In this report, we use this technique to verify possible improvement of subspace-based identification method including output-only, and input-output approaches. Then, for the first time we investigate the possible impacts of the rotated input on subspace base fault detection method. Simulations on a high-purity distillation column shows that this auxiliary input can improve subspace-based fault detection and identification.
Document type :
Reports
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/inria-00589508
Contributor : Ist Rennes Connect in order to contact the contributor
Submitted on : Friday, April 29, 2011 - 8:40:02 AM
Last modification on : Friday, June 17, 2022 - 1:26:58 PM
Long-term archiving on: : Thursday, November 8, 2012 - 5:40:25 PM

File

RR-7609.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00589508, version 1

Collections

Citation

Alireza Esna Ashari, Laurent Mevel. Optimal Input Design for Subspace-Based Fault Detection and Identification. [Research Report] RR-7609, INRIA. 2010, pp.20. ⟨inria-00589508⟩

Share

Metrics

Record views

479

Files downloads

132