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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Proceedings ArticleDOI
Observer-based fault detection for robot manipulators
Fabrizio Caccavale,Ian D. Walker +1 more
TL;DR: Simulation results show the effectiveness of the proposed observer-based approach to fault detection and isolation for robot manipulators, even if a relatively low sampling rate is adopted and in the presence of large modeling errors.
Journal ArticleDOI
Diagnostic reasoning strategies for means-end models
TL;DR: Three diagnostic methods for use with industrial processes are described, measurement validation, alarm analysis and fault diagnosis, which use multilevel flow models, to describe the target process.
Journal ArticleDOI
Diagnosis of multiple sensor and actuator failures in automotive engines
TL;DR: In this paper, the authors proposed a hexadecimal decision table to relate all possible failure patterns to the residual code, which is obtained through simple threshold testing of the residuals, which are the output of a general scheme of residual generators.
Journal ArticleDOI
Subspace-based fault detection robust to changes in the noise covariances
Michael Döhler,Laurent Mevel +1 more
TL;DR: A new robust residual is proposed and the robustness of its statistics against changes in the noise covariances is shown.
Journal ArticleDOI
Fault detection in a thermal process control system with input constraints using a robust right coprime factorization approach
TL;DR: In this article, a fault detection method in an uncertain aluminium plate thermal process control system with input constraints is presented, which is based on a robust right coprime factorization algorithm.
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.