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A functional observer based fault detection technique for dynamical systems

Emami, Kianoush, Fernando, Tyrone, Nener, Brett, Trinh, Hieu and Zhang, Yang 2015, A functional observer based fault detection technique for dynamical systems, Journal of the Franklin Institute, vol. 352, no. 5, pp. 2113-2128, doi: 10.1016/j.jfranklin.2015.02.006.

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Title A functional observer based fault detection technique for dynamical systems
Author(s) Emami, Kianoush
Fernando, Tyrone
Nener, Brett
Trinh, HieuORCID iD for Trinh, Hieu orcid.org/0000-0003-3438-9969
Zhang, Yang
Journal name Journal of the Franklin Institute
Volume number 352
Issue number 5
Start page 2113
End page 2128
Total pages 16
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-05
ISSN 0016-0032
Summary This paper presents a functional observer based fault detection method. The fault detection is achieved using a functional observer based fault indicator that asymptotically converges to a fault indicator that can be derived based on the nominal system. The asymptotic value of the proposed fault indicator is independent of the functional observer parameters and also the convergence rate of the fault indicator can be altered by choosing appropriate functional observer parameters. The advantage of using this new method is that the observed system is not necessarily needed to be observable; therefore, the proposed fault detection technique is also applicable for systems where state observers cannot be designed; moreover, the functional observer fault detection scheme is always of reduced order in comparison to a state observer based scheme.
Language eng
DOI 10.1016/j.jfranklin.2015.02.006
Field of Research 010203 Calculus of Variations, Systems Theory and Control Theory
010204 Dynamical Systems in Applications
090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DP130101532
Copyright notice ©2015, The Franklin Institute
Persistent URL http://hdl.handle.net/10536/DRO/DU:30074973

Document type: Journal Article
Collection: School of Engineering
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Created: Wed, 12 Aug 2015, 16:40:55 EST

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