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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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A structural approach for the design of failure detection and identification systems

TL;DR: The structural canonical decomposition, obtained as a result of a structural study based on graph theory, points out the monitorable part of the system and provides a way to generate residuals and some extensions are possible as direct residual generation by variable elimination or sensor implementation.
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A Diagnostic System for Air Brakes in Commercial Vehicles

TL;DR: A model-based diagnostic system based on a nonlinear model for predicting the pressure transients in the brake chamber that correlates the brake Chamber pressure to the treadle valve (brake application valve) plunger displacement and the pressure of the air supplied to the brake system is presented.
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Fault Detection Analysis of Boolean Control Networks

TL;DR: The concept of meaningful fault is introduced, and it is proved necessary and sufficient conditions under which meaningful faults can be detected from the input/output trajectories of the BCN.
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Sensor and actuator fault isolation by structured partial PCA with nonlinear extensions

TL;DR: Gertler et al. as mentioned in this paper proposed a partial PCA based on principal component analysis (PCA) with ideas borrowed from parity relations, which is a useful method in fault isolation.
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.