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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Journal ArticleDOI
Dynamic probabilistic model-based expert system for fault diagnosis
D. Leung,Jose A. Romagnoli +1 more
TL;DR: The design and implementation of a probabilistic model-based fault diagnosis expert system is described and a rule-based approach is proposed to transform the Bayesian belief network into an acyclic network dynamically during the diagnosis phase to allow simple on-line probability calculation in a belief network with causality loops.
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Actuator fault estimation for a class of nonlinear descriptor systems
TL;DR: An actuator fault estimation approach for a class of nonlinear descriptor systems is proposed and the design of the proposed observer is reformulated as a set of linear matrix inequalities (LMIs), which can be conveniently solved by standard LMI tools.
Journal ArticleDOI
Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype
Silvio Simani,Cesare Fantuzzi +1 more
TL;DR: In this article, a model-based procedure exploiting analytical redundancy for the detection and isolation of faults on a gas turbine process is presented, which consists of exploiting system identification schemes in connection with observer and filter design procedures for diagnostic purpose.
Journal ArticleDOI
Criterions for detectability and strong detectability of faults in linear systems
TL;DR: In this article, a fault is (strongly) detectable if it is possible to construct a residual generator that is sensitive to the (constant) fault while decoupling all disturbances.
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Developing BiCOR and CORS methods for coupled Sylvester-transpose and periodic Sylvester matrix equations
TL;DR: In this article, the biconjugate A-orthogonal residual (BiCOR) and conjugate AORS squared (CORS) methods were used to obtain matrix iterative methods for solving the coupled Sylvester-transpose matrix equations.
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.
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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.
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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.