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
A model of asynchronous machines for stator fault detection and isolation
TL;DR: This model allows one to take into account unbalanced stator situations which can be produced by stator faults like short circuits in windings, which makes the model very useful for control algorithms and fault detection and isolation algorithms.
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Nonlinear Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach
TL;DR: In this article, the authors proposed a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach for jet engines.
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Design and analysis of a fault isolation scheme for a class of uncertain nonlinear systems
TL;DR: A rigorous isolability analysis is presented via the use of the so-called fault mismatch functions, which are defined between pairs of possible faults.
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A bilinear fault detection observer
Dingli Yu,D.N. Shields +1 more
TL;DR: A bilInear fault detection observer is proposed for a bilinear system with unknown inputs and the residual vector in the design of the observer is decoupled from the known inputs and is made sensitive to all the faults.
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Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals
Jian-Da Wu,Chao-Qin Chuang +1 more
TL;DR: In this paper, a visual dot pattern technique is proposed to identify the acoustic emission and vibration signals for fault diagnosis in an internal combustion engine and drive axle shaft, and experiments are carried out to evaluate the proposed system under various fault conditions.
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.