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
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Journal ArticleDOI
Nonlinear system fault diagnosis based on adaptive estimation
Aiping Xu,Qinghua Zhang +1 more
TL;DR: An approach to fault diagnosis for a class of nonlinear systems is proposed, based on a new adaptive estimation algorithm for recursive estimation of the parameters related to faults, designed in a constructive manner through a nontrivial combination of a high gain observer and a recently developed linear adaptive observer.
Proceedings ArticleDOI
Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics
TL;DR: In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and actuator fault detection and isolation (FDI) in conjunction with the detection of component faults.
Journal ArticleDOI
Execution monitoring in robotics: A survey
TL;DR: Research on execution monitoring in its own is still not very common within the field of robotics and autonomous systems, but it is more common that researchers interested in control architectures or e-commerce systems focus on this area.
Journal ArticleDOI
A new approach to robust fault detection and identification
Mehrdad Saif,Y. Guan +1 more
TL;DR: In this paper, a robust estimator for instrument fault detection and identification (FDI) in linear dynamical systems subject to plant parameter variations or uncertainties is presented, which can simultaneously estimate the unmeasurable state variables for the purpose of control and provide necessary information for FDI purposes.
Proceedings ArticleDOI
Fault-diagnosis by disturbance decoupled nonlinear observers
R. Seliger,Paul M. Frank +1 more
TL;DR: A novel concept of nonlinear unknown input observers is utilized for component and actuator fault detection and isolation in a class of disturbed and uncertain nonlinear dynamic systems.
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.