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
Frequency Domain Approach and Threshold Selector for Robust Model-based Fault Detection and Isolation
X. Ding,Paul M. Frank +1 more
TL;DR: In this paper, the problem of residual generation and evaluation for uncertain dynamic systems is formulated and investigated with the aid of frequency domain approaches and H∞- optimization techniques, based on the parametrization of residual generators, the design of optimal residual generators reduces to an optimization problem that is solved by H ∞-techniques.
Journal ArticleDOI
Supervision of an industrial steam generator. Part I: Bond graph modelling
TL;DR: In this article, the causal properties of bond graphs not only allow validating the model, but also provide the computational algorithms to eliminate the unknown variables from coupled thermo-fluid models and thus generate analytical redundancy relations (ARR) in terms of measurements and parameters.
Journal Article
On-Line Fault Detection Techniques for Technical Systems: A Survey
TL;DR: This paper includes a reference to recent research work on numerical methods, an extensive presentation of artificial intelligence methods used for the fault detection process in technical systems and relevant survey material.
Book ChapterDOI
Sliding Mode Observers for Fault Detection
TL;DR: In this paper, a sliding mode observer is proposed to reconstruct actuator and sensor faults modelled as additive perturbations to the inputs and the outputs of the plant, and a design methodologies based on Linear Matrix Inequalities (LMIs) are presented.
Journal ArticleDOI
Fault diagnosis based on adaptive observer for a class of non-linear systems with unknown parameters
TL;DR: In this article, the fault diagnosis problem for a class of non-linear systems with uncertainty which depends on states, inputs and unknown constant parameters is discussed, where the system is transformed into two different subsystems.
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.