A fault detection technique for dynamical systems

Emami, Kianoush, Nener, Brett, Sreeram, Victor, Trinh, Hieu and Fernando, Tyrone 2013, A fault detection technique for dynamical systems, in ICIIS 2013 : Proceedings of the 2013 IEEE 8th International Conference on Industrial and Information Systems, IEEE, Piscataway, N.J., pp. 1-6.

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Title A fault detection technique for dynamical systems
Author(s) Emami, Kianoush
Nener, Brett
Sreeram, Victor
Trinh, Hieu
Fernando, Tyrone
Conference name IEEE Industrial and Information Systems. Conference (8th : 2013 : Kandy, Sri Lanka)
Conference location Kandy, Sri Lanka
Conference dates 17-20 Dec. 2013
Title of proceedings ICIIS 2013 : Proceedings of the 2013 IEEE 8th International Conference on Industrial and Information Systems
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE International Conference on Industrial and Information Systems
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) functional observers
state observers
fault detection
Summary This paper shows how a functional observer can be utilized to detect faults in LTI MIMO systems. The fault detection technique is designed so that the functional observer based fault indicator asymptotically converges to a fault indicator that can be derived based on the nominal system. The asymptotic value of the proposed fault indicator is not dependent on the functional observer parameters; moreover, by choosing appropriate functional observer parameters the convergence rate of the fault indicator can be altered. Observability of the system is not a requirement for the design of the fault detection scheme.
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
010204 Dynamical Systems in Applications
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30060742

Document type: Conference Paper
Collection: School of Engineering
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