Journal ArticleDOI
Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms
TLDR
A new approach to the design of optimal residuals in order to diagnose incipient faults based on multi-objective optimization and genetic algorithms is developed, and simulation results show that incipient sensor faults can be detected reliably in the presence of modelling uncertainty.Abstract:
This paper develops a new approach to the design of optimal residuals in order to diagnose incipient faults based on multi-objective optimization and genetic algorithms. In this approach the residual is generated via an observer. To reduce false and missed alarm rates in fault diagnosis, a number of performance indices are introduced into the observer design. Some performance indices are expressed in the frequency domain to take account of the frequency distributions of faults, noise and modelling uncertainties. All objectives then are reformulated into a set of inequality constraints on performance indices. A genetic algorithm is thus used to search for an optimal solution to satisfy these inequality constraints on performance indices. The approach developed is applied to a flight control system example, and simulation results show that incipient sensor faults can be detected reliably in the presence of modelling uncertainty.read more
Citations
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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
Evolutionary algorithms in control systems engineering: a survey
TL;DR: In this paper, the important role of evolutionary algorithms in multi-objective optimisation is highlighted, and evolutionary advances in adaptive control and multidisciplinary design are predicted, as well as significant applications in parameter and structure optimisation for controller design and model identification, in addition to fault diagnosis, reliable systems, robustness analysis, and robot control.
Journal ArticleDOI
From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
Xuewu Dai,Zhiwei Gao +1 more
TL;DR: An outlook to the possible evolution of FDD in industrial automation, including the hybrid FDD and the emerging networked FDD, are presented to reveal the future development direction in this field.
Book ChapterDOI
System health monitoring and prognostics — a review of current paradigms and practices
TL;DR: The most common maintenance and repair strategy is "fix it when it breaks" as discussed by the authors, which can provide relatively high equipment reliability, but it tends to do so at excessive cost (higher scheduled downtimes).
Journal ArticleDOI
An LMI approach to minimum sensitivity analysis with application to fault detection
TL;DR: The lowest level of sensitivity of system outputs to system inputs is defined as an H"- index, defined in terms of matrix equalities and inequalities, as a dual of the Bounded Real Lemma.
References
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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
Analytical Redundancy Methods in Fault Detection and Isolation - Survey and Synthesis
TL;DR: In this article, the best known residual generation methods in model-based fault detection and isolation, including parity equations, diagnostic observers and Kalman filtering, are presented in a consistent framework.
Journal ArticleDOI
A Review of Parity Space Approaches to Fault Diagnosis
Ron J. Patton,Jie Chen +1 more
TL;DR: In this paper, a review of the state of the art in fault detection and isolation for dynamic systems based on the parity space concept is provided and tutorial examples are given to illustrate the theory.
Journal ArticleDOI
Design of dynamical and control systems by the method of inequalities
V. Zakian,U. Al-Naib +1 more
TL;DR: It is shown how typical design problems lead naturally to the formulation of a set of inequalities, any solution of which characterises an acceptable system, and a numerical process for obtaining a solution of a system of inequalities is developed.
Journal ArticleDOI
Optimal residual decoupling for robust fault diagnosis
Janos Gertler,Moid M. Kunwer +1 more
TL;DR: In this article, the authors deal with residual generation for the diagnosis of faults in the presence of disturbances, represented as multiplicative disturbances, and on parametric faults, both characterized as discrepancies in a set of underlying parameters.