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Journal ArticleDOI

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Paul M. Frank
- 01 May 1990 - 
- Vol. 26, Iss: 3, pp 459-474
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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.
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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).

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Citations
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Journal ArticleDOI

On-line detection of abrupt changes in the carrier-phase measurements of GPS

TL;DR: The statistical technique known as the cumulative-sum test is described for the detection of abrupt changes in the GPS carrier-phase measurements and designed algorithms to detect failures or changes of small magnitude are designed in order to monitor and control the quality of GPS measurements for critical real-time and/or deformation applications.
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Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes

TL;DR: An approach based on the self-organizing maps to model the dynamics of multivariable processes is presented and a new method of residual computation for fault detection and identification that uses the dynamic information provided by the model of transitions is proposed.
Journal ArticleDOI

Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems

TL;DR: In this article, a fault reconstruction scheme for a class of nonlinear systems involving unknown input disturbances is presented, where the disturbances and faults of the system are fully decoupled, and the design of a sliding mode state observer makes the most genuine reconstruction realizable.
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Fault detection by using the innovation signal: application to an exothermic reaction

TL;DR: In this article, an extended Kalman filter (EKF) was applied to a nonlinear system such as stirred reactors in the presence of exothermic chemical reactions to reveal any drift from the normal behavior of the process.
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Fault detection and safety in closed-loop artificial pancreas systems.

TL;DR: Techniques for fault detection, safety analyses, and remote monitoring techniques that have been applied in other industries and applications, such as chemical process plants and commercial aircraft, are discussed and placed in the context of a closed-loop artificial pancreas.
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

Rolf Isermann
- 01 Jul 1984 - 
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

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.