liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Robust Fault Detection With Statistical Uncertainty in Identified Parameters
Delft University of Technology, The Netherlands .
Delft University of Technology, The Netherlands .
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2012 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 60, no 10, 5064-5076 p.Article in journal (Refereed) Published
Abstract [en]

Detection of faults that appear as additive unknown input signals to an unknown LTI discrete-time MIMO system is considered. State of the art methods consist of the following steps. First, either the state space model or certain projection matrices are identified from data. Then, a residual generator is formed based on these identified matrices, and this residual generator is used for online fault detection. Existing techniques do not allow for compensating for the identification uncertainty in the fault detection. This contribution explores a recent data-driven approach to fault detection. We show first that the identified parametric matrices in this method depend linearly on the noise contained in the identification data, and then that the on-line computed residual also depends linearly on the noise. This allows an analytic design of a robust fault detection scheme, that takes both the noise in the online measurements as well as the identification uncertainty into account. We illustrate the benefits of the new method on a model of aircraft dynamics extensively studied in literature.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2012. Vol. 60, no 10, 5064-5076 p.
Keyword [en]
Additive faults, Closed-form solution, Fault detection, Parameter uncertainty, Statistical analysis
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-84886DOI: 10.1109/TSP.2012.2208638ISI: 000308963300006OAI: diva2:564012
Available from: 2012-11-01 Created: 2012-10-26 Last updated: 2013-07-23

Open Access in DiVA

fulltext(351 kB)306 downloads
File information
File name FULLTEXT01.pdfFile size 351 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Gustafsson, Fredrik
By organisation
Automatic ControlThe Institute of Technology
In the same journal
IEEE Transactions on Signal Processing
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 306 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 103 hits
ReferencesLink to record
Permanent link

Direct link