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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

Processing and packaging automation systems: a review

TL;DR: The primary purpose of this paper is to update the information in this domain so that not only the novice practitioner will gain much out of this review but the system integrators, researchers, and the stakeholders as well.
Journal ArticleDOI

A New Optimization Approach to the Design of Fault Detection Filters

TL;DR: In this article, a new type of performance index for the optimization of fault detection filters is introduced, which can be interpreted as a generalization of the well known H ∞/∞ and H∞/min performance indices.
Journal ArticleDOI

A neural networks-based negative selection algorithm in fault diagnosis

TL;DR: A novel neural networks-based negative selection algorithm based on neural networks training has the distinguishing capability of adaptation, which is well suited for handling dynamical problems.
Proceedings ArticleDOI

Detection of actuator faults using a dynamic neural network for the attitude control subsystem of a satellite

TL;DR: The proposed dynamic neural network structure is applied for detecting faults in a reaction wheel that is often used as an actuator in the ACS of a satellite and is compared to a model-based observer residual generator design that is to detect various fault scenarios.
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.