Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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TLDR
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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Fault-tolerant Control Systems—An Introductory Overview
TL;DR: In this paper, the authors present an introductory overview on the development of fault-tolerant con- trol systems and highlight some important issues from a historical perspective from a practical and industrial perspective.
Journal ArticleDOI
Delay-dependent fault estimation for uncertain time-delay nonlinear systems: an LMI approach
TL;DR: In this paper, a fault estimator for uncertain time-delay Takagi-Sugeno (TS) fuzzy models is proposed, and sufficient conditions for the existence of a robust estimator are given in terms of linear matrix inequalities (LMIs).
Journal ArticleDOI
Diagnosis of process disturbances by statistical distance and angle measures
Anne Raich,Ali Cinar +1 more
TL;DR: A novel disturbance diagnosis approach is presented based on angle discriminants that is successful in cases where distance based discrimination is not very accurate and compared with the diagnosis utilizing distance based algorithms.
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Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network
TL;DR: In this paper, the authors developed a methodology to combine diagnostic information from various fault detection and isolation tools to diagnose the true root cause of an abnormal event in industrial processes using Bayesian belief network.
Journal ArticleDOI
Robust residual generation for linear fault diagnosis: an algebraic setting with examples
TL;DR: The methods, which are mainly of algebraic flavour (module theory, differential algebra, and operational calculus), are borrowed from recent works on control and identification, and it is hoped that the results might be understood by a large community.
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.