Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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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.About:
This article is published in Automatica.The article was published on 1990-05-01. It has received 3313 citations till now. The article focuses on the topics: Fault detection and isolation & Robustness (computer science).read more
Citations
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Journal ArticleDOI
Fault detection observer design for fuzzy systems with local nonlinear models via fuzzy Lyapunov function
TL;DR: F fuzzy Lyapunov function approach is applied to design the fault detection observer for Takagi-Sugeno (T-S) fuzzy systems subject to local nonlinear models, and corresponding sufficient conditions are given in terms of linear matrix inequalities.
Proceedings ArticleDOI
Combining neuro-fuzzy and machine learning for fault diagnosis of a DC motor
Dominik Füssel,P. Balle +1 more
TL;DR: An approach for the diagnosis of faults in dynamic systems based on a neuro-fuzzy scheme that uses a rule extraction mechanism varying from most other approaches as it is based on concepts of machine learning.
Journal ArticleDOI
Closed‐loop performance metrics for fault detection and isolation filter and controller interaction
TL;DR: In this article, the role of controller robustness on the performance of FDI filters was investigated in the presence of uncertain dynamics and model uncertainty, and the effect of model uncertainty on filter performance was evaluated using worstcase analysis and linear simulations.
Journal ArticleDOI
A unified framework for detection, isolation and compensation of actuator faults in uncertain particulate processes
A. Giridhar,Nael H. El-Farra +1 more
TL;DR: In this paper, a robust detection, isolation and compensation of control actuator faults in particulate processes described by population balance models with control constraints and time-varying uncertain variables is presented.
Journal ArticleDOI
An integrated fault diagnosis and safe-parking framework for fault-tolerant control of nonlinear systems
TL;DR: In this article, a model-based fault diagnosis design is proposed, which can not only identify the failed actuator but also estimate the fault magnitude, and the estimate of the position provided by the fault diagnosis is used to choose a safe-park point, at which the system operates temporarily during fault repair.
References
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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.
Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TL;DR: This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.
Journal ArticleDOI
Analytical redundancy and the design of robust failure detection systems
E. Chow,Alan S. Willsky +1 more
TL;DR: In this article, a robust failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making, and it is argued that a robust FDI system can be achieved by designing a robust residual generation process.
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.