Journal ArticleDOI
A bilinear fault detection observer
Dingli Yu,D.N. Shields +1 more
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TLDR
A bilInear fault detection observer is proposed for a bilinear system with unknown inputs and the residual vector in the design of the observer is decoupled from the known inputs and is made sensitive to all the faults.About:
This article is published in Automatica.The article was published on 1996-11-01. It has received 67 citations till now. The article focuses on the topics: State observer & Alpha beta filter.read more
Citations
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Sliding mode observers for robust detection and reconstruction of actuator and sensor faults
Chee Pin Tan,Christopher Edwards +1 more
TL;DR: In this paper, the authors describe a method for designing sliding mode observers for detection and reconstruction of actuator and sensor faults, that is robust against system uncertainty, using ℋ∞ concepts to design the sliding motion so that an upper bound on the effect of the uncertainty on the reconstruction of the faults will be minimized.
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Subspace identification of bilinear systems subject to white inputs
TL;DR: The authors generalize linear subspace Identification theory to an analog theory for the subspace identification of bilinear systems and shows that most of the properties of linear sub space identification theory can be extended to similar properties for bilinears systems.
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Brief paper: LMI-based sensor fault diagnosis for nonlinear Lipschitz systems
TL;DR: The problem of sensor fault diagnosis in the class of nonlinear Lipschitz systems is considered and a dynamic observer structure is used with the objective to make the residual converge to the faults vector achieving detection and estimation at the same time.
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Fault diagnosis based on analytical models for linear and nonlinear systems - a tutorial
TL;DR: Two methods for residual generation are presented in a tutorial way: the parity space and the observer based approaches for linear and nonlinear models are successively considered.
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Brief Paper: Robust fault detection based on observers for bilinear systems
TL;DR: It is shown via examples that the approach based on a Kalman-like observer allows one to handle a larger class of bilinear systems than the other observer-based methods presented in the literature.
References
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Book
Matrix Analysis
Roger A. Horn,Charles R. Johnson +1 more
TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
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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.
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Fault diagnosis of machines via parameter estimation and knowledge processing: tutorial paper
TL;DR: A general methodology for machines and other processes is described by using few measurements, dynamic process and signal models and parameter estimation to generate analytical symptoms to detect faults earlier and to localize them better.
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Natural Bilinear Control Processes
TL;DR: It is shown that these so-called bilinear systems have a variable dynamical structure that makes them quite controllable and may utilize appropriately controlled unstable modes of response to enhance controllability.