Journal ArticleDOI
On eigenstructure assignment for robust fault diagnosis
Ron J. Patton,Jie Chen +1 more
TLDR
The main contribution of the paper is the development of the assignment of right observer eigenvectors for robust residual generation and the principles, existence conditions and design procedures are presented.Abstract:
This paper presents a theoretical and tutorial treatment of the eigenstructure assignment approach for robust fault detection. The principles, existence conditions and design procedures are presented. The main contribution of the paper is the development of the assignment of right observer eigenvectors for robust residual generation. When some of the observer right eigenvectors are assigned parallel to the disturbance distribution directions, the diagnostic residual generated by the observer is insensitive to disturbances. Robust fault-detection design can be achieved by either left or right eigenvector assignment method. For left eigenvector assignment method, the sufficient conditions are presented. For right eigenvector assignment method, both necessary and sufficient conditions are proposed. Finally, two numerical examples are used to illustrate the eigenstructure assignment methods studied in the paper. Copyright © 2000 John Wiley & Sons, Ltd.read more
Citations
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Journal ArticleDOI
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.
Journal ArticleDOI
A Survey of Fault Detection, Isolation, and Reconfiguration Methods
TL;DR: A survey of the various model-based FDIR methods developed in the last decade is presented, and various techniques of implementing reconfigurable control strategy in response to faults are discussed.
Dissertation
Sliding mode observers for fault detection and isolation
TL;DR: A new method using Linear Matrix Inequalities is presented, which can robustly reconstruct faults in the presence of a class system of uncertainty, minimising the effect of the uncertainty on the fault reconstruction in an £ 2 sense.
Journal ArticleDOI
Unknown Input Observer-Based Robust Fault Estimation for Systems Corrupted by Partially Decoupled Disturbances
TL;DR: This paper aims to develop an effective fault estimation technique to simultaneously estimate the system states and the concerned faults, while minimizing the influences from process/sensor disturbances.
Journal ArticleDOI
Model-based fault diagnosis for aerospace systems: a survey:
TL;DR: In this article, a survey of model-based fault detection methods for aerospace systems is presented, focusing on those methods that are applicable to aerospace systems and highlighting the characteristics of aerospace models, generic non-linear dynamical modelling from flight mechanics is recalled and a unifying representation of sensor and actuator faults is presented.
References
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Book
Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
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
Survey of robust residual generation and evaluation methods in observer-based fault detection systems
P.M. Frank,X. Ding +1 more
TL;DR: In this paper, the authors outline recent advances of the theory of observer-based fault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation, including H∞ theory, nonlinear unknown input observer theory, adaptive observer theory and artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator.
Journal ArticleDOI
Design of unknown input observers and robust fault detection filters
TL;DR: 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.
Journal ArticleDOI
Observer-based fault detection and isolation: robustness and applications
Ron J. Patton,Jie Chen +1 more
TL;DR: In this article, the observer-based fault detection and isolation problem with an emphasis on robustness and applications is studied, and a summary of the basic ideas behind the use of observers in generating diagnostic residual signals is provided.