Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TLDR
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.About:
This article is published in Automatica.The article was published on 1984-07-01. It has received 2367 citations till now. The article focuses on the topics: Fault detection and isolation & Process modeling.read more
Citations
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Journal ArticleDOI
Detection of abrupt changes: theory and application
TL;DR: A unified framework for the design and the performance analysis of the algorithms for solving change detection problems and links with the analytical redundancy approach to fault detection in linear systems are established.
Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
TL;DR: 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.
Journal ArticleDOI
Bibliographical review on reconfigurable fault-tolerant control systems
Youmin Zhang,Jin Jiang +1 more
TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
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Model predictive control: past, present and future
Manfred Morari,Jay H. Lee +1 more
TL;DR: In this article, a theoretical basis for model predictive control (MPC) has started to emerge and many practical problems like control objective prioritization and symptom-aided diagnosis can be integrated into the MPC framework by expanding the problem formulation to include integer variables yielding a mixed-integer quadratic or linear program.
Journal ArticleDOI
A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
References
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Book
Failure detection in linear systems
TL;DR: Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1973 as discussed by the authors, Boston, Massachusetts, USA.
Journal ArticleDOI
An instrumental variable method for real-time identification of a noisy process
TL;DR: In this paper, an instrumental variable (IV) technique is proposed to identify a dynamic process from its normal operating data, which does not require a priori information on the signal and noise statistics.
Journal ArticleDOI
Refined instrumental variable methods of recursive time-series analysis Part III. Extensions
Peter C. Young,Anthony Jakeman +1 more
TL;DR: The paper shows how the refined IV procedure can be extended in various important directions and how it can provide the basis for the synthesis of optimal generalized equation error (GEE) algorithms for a wide class of stochastic dynamic systems.
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Refined instrumental variable methods of recursive time-series analysis Part I. Single input, single output systems
Peter C. Young,Anthony Jakeman +1 more
TL;DR: The implementation of a recursive/iterative version of the refined IVAML algorithm for single input, single output systems is discussed in detail and the performance of the algorithm is evaluated by Monte-Carlo simulation analysis applied to five simulated stochastic systems.