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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

Kronecker Maps and Sylvester-Polynomial Matrix Equations

TL;DR: With the help of the Kronecker maps, general explicit solutions of the Sylvester-polynomial matrix equations are established when the polynomial matrices possess F-primeness.
Journal ArticleDOI

Robust feedback design with optimized diagnostic performance

TL;DR: This paper is concerned with the design of reconfigurable control laws that also effectively facilitate the acquisition of information used for diagnostic purposes in fault tolerant control systems.
Proceedings ArticleDOI

Modeling electromagnetic disturbances in closed-loop computer controlled flight systems

TL;DR: In this paper, an electromagnetic disturbance model is introduced for stability analysis and augmentation of any digitally implemented control law, composed of a Markovian exosystem supplying radiation events to a discrete-time jump linear system which models how the radiation interferes with the nominal operation of the closed-loop system.
Journal ArticleDOI

Diagnosability of intermittent sensor faults in discrete event systems

TL;DR: The model of intermittent loss of observations proposed in the literature is modified to account for sensor malfunction only and a test based on diagnoser automaton is proposed to verify intermittent sensor fault diagnosability.
Patent

On-line multivariate analysis in a distributed process control system

TL;DR: In this article, a method and system for monitoring a process in a process plant includes collecting data from a process control system within the process plant, where the data is representative of a normal operation of the process when the process is on-line and operating normally.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.