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
A Review on Fault Detection and Process Diagnostics in Industrial Processes
TL;DR: Current research and developments of F DD approaches for process monitoring as well as a broad literature review of many useful FDD approaches are presented.
Journal ArticleDOI
Intelligent fault-tolerant control using adaptive and learning methods
Yixin Diao,Kevin M. Passino +1 more
TL;DR: A new fault-tolerant control methodology using adaptive estimation and control approaches based on the learning capabilities of neural networks or fuzzy systems is proposed, which has been further improved by exploiting information estimated from a fault-diagnosis unit designed by interfacing multiple models with an expert supervisory scheme.
Journal ArticleDOI
Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms
TL;DR: A new approach to the design of optimal residuals in order to diagnose incipient faults based on multi-objective optimization and genetic algorithms is developed, and simulation results show that incipient sensor faults can be detected reliably in the presence of modelling uncertainty.
Proceedings ArticleDOI
Generating feature sets for fault diagnosis using denoising stacked auto-encoder
TL;DR: The results clearly show the prospects of DNN obtaining good feature representations and good classification performance, and it finds that Fast Fourier Transform based features with DNN are more suited for Support Vector Machine as classifier than Random Forest.
Journal ArticleDOI
On designing observers for time-delay systems with non-linear disturbances
TL;DR: In this paper, the observer design problem for a class of time-delay nonlinear systems is studied, where the system under consideration is subject to delayed state and non-linear disturbances.
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.