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
Sensor bias fault isolation in a class of nonlinear systems
TL;DR: Based on the class of nonlinear systems and sensor bias faults under consideration, the stability and learning properties of the fault isolation estimators are obtained, adaptive thresholds are derived for the isolation estimator, and fault isolability conditions are rigorously investigated, characterizing the classof nonlinear faults that are isolable by the proposed scheme.
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New developments using AI in fault diagnosis
TL;DR: The basic idea of a novel observer concept, the so-called “knowledge observer”, is introduced and the neural-network approach for residual generation and evaluation is outlined as well.
Journal ArticleDOI
A matrix factorization solution to the H-/H∞ fault detection problem
TL;DR: A matrix factorization solution to the H"-/H~ fault detection (FD) problem for linear time invariant dynamic systems that reduces to a nonstandard model matching problem which is solved under a mild assumption concerning the rank of a matrix function.
Journal ArticleDOI
Information criteria for residual generation and fault detection and isolation
TL;DR: This work formally state several multiple fault cases, with or without causality assumptions, and discusses an optimality criterion for the most general one in linear time invariant state-space systems.
Proceedings ArticleDOI
Coordinated decentralized protocols for failure diagnosis of discrete event systems
TL;DR: This article addresses the problem of failure diagnosis in discrete event systems with decentralized information by proposing a coordinated decentralized architecture consisting of local sites communicating with a coordinator that is responsible for diagnosing the failures occurring in the system.
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
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
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.