Journal ArticleDOI
Design of unknown input observers and robust fault detection filters
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TLDR
In this article, the authors proposed a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties.Abstract:
Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detect...read more
Citations
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Model-based fault diagnosis and fault-tolerant control for a nonlinear electro-hydraulic system
TL;DR: In this paper, a model-based fault diagnosis and fault-tolerant control with application to a nonlinear electro-hydraulic system is discussed, and a fault detection and isolation (FDI) based on backstepping technique is implemented.
Journal ArticleDOI
Design of robust fault detection filters for linear descriptor systems using sliding-mode observers
TL;DR: This paper proposes the use of sliding-mode observers for the design of a robust diagnosis signal for fault detection in continuous-time linear descriptor systems.
Proceedings ArticleDOI
Robust fault isolation observer design
Yi Xiong,Mehrdad Saif +1 more
TL;DR: In this article, two robust fault isolation observer design approaches for linear uncertain systems are presented, one using a direct eigenstructure assignment scheme to make a diagonal transfer function between faults and residuals, and the second method is carried out through transformation of the system into its special coordinate basis form such that the disturbance decoupled fault detection observer can be combined easily with Beard-Jones detection filter theory to produce a robust fault detection filter.
Journal ArticleDOI
Multiobjective fault detection and isolation for flexible air-breathing hypersonic vehicle
Xuejing Cai,Fen Wu +1 more
TL;DR: In this paper, an application of the multiobjective fault detection and isolation (FDI) approach to an air-breathing hypersonic vehicle (HSV) longitudinal dynamics subject to disturbances is presented.
References
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Book
Linear System Theory and Design
TL;DR: Striking a balance between theory and applications, Linear System Theory and Design, 3/e, is ideal for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments.
Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
A survey of design methods for failure detection in dynamic systems
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.
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