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
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Diagnosability analysis of hybrid systems cast in a discrete-event framework
TL;DR: This paper addresses the problem of assessing the diagnosability of hybrid systems modeled by a hybrid automaton coupling methods from the continuous and the discrete event model-based diagnosis fields with a prefix-closed language over the original event alphabet enriched by additional events.
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Diagnosis of linear dynamic systems by the nonparametric method
TL;DR: Methods of making decisions from the results of diagnosis of the linear dynamic systems by the nonparametric method and an approach to fault localization were examined.
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Robust fault diagnosis of networked control systems
TL;DR: In this article, a fault detection problem for a class of linear networked control systems (NCS) with communication delays is studied, where the communication delays are described as a random Markov jump process and a fault isolation filter is developed.
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A fault detection observer design for LPV systems in finite frequency domain
TL;DR: It turns out that the non-convexity problem which is caused by dealing with the above three conditions can be translated into a bilinear matrix inequality optimisation problem by increasing the dimensions of slack variable matrix.
Proceedings ArticleDOI
Cylinder Air Charge Estimator in Turbocharged SI-Engines
Per Andersson,Lars Eriksson +1 more
TL;DR: In this article, the mean value cylinder air charge (CAC) estimation models for control and diagnosis of turbocharged SI-engines are investigated on turbocharged engines, and the authors show that CAC models based on volumetric efficiency give up to 10% error during fuel enrichment.
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.