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
Fault estimation filter design for discrete-time descriptor systems
TL;DR: In this paper, the authors proposed a robust filter design method to deal with the effect of the unknown disturbance, which is able to detect and estimate the faults despite in the presence of disturbance, and the design conditions for the proposed filter are formulated as a Linear Matrix Inequality (LMI) feasibility problem.
Journal ArticleDOI
Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach
TL;DR: This paper proposes a parity relation based fault estimation for a class of nonlinear systems which can be modelled by Takagi-Sugeno (TS) fuzzy models in terms of a family of linear matrix inequalities (LMIs).
Journal ArticleDOI
Anomaly detection/detectability for a linear model with a bounded nuisance parameter
TL;DR: The goal of this paper is to study the statistical performances of the constrained generalized likelihood ratio test used to detect an additive anomaly in the case of bounded nuisance parameters.
Journal ArticleDOI
Sensor fault detection and isolation via high-gain observers: Application to a double-pipe heat exchanger
R.F. Escobar,Carlos-Manuel Astorga-Zaragoza,A.C. Téllez-Anguiano,D. Juárez-Romero,J.A. Hernández,G.V. Guerrero-Ramírez +5 more
TL;DR: A dynamic model with heat transfer coefficients which depend on temperature and flow used to estimate the output temperatures of a heat exchanger provides a satisfactory approximation of the states of the heat exchangers in order to allow its implementation in a FDI system used to perform supervision tasks.
Journal ArticleDOI
Actuator and sensor fault isolation of nonlinear process systems
TL;DR: In this paper, the authors consider subsets of faults and design state observers that use information of inputs and outputs only subject to faults in each subset, and then design residuals using the process model and state estimates such that each residual is only sensitive to the corresponding subset of faults.
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.