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Journal ArticleDOI

Process fault detection based on modeling and estimation methods-A survey

Rolf Isermann
- 01 Jul 1984 - 
- Vol. 20, Iss: 4, pp 387-404
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.
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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.

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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

Paul M. Frank
- 01 May 1990 - 
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

TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
Journal ArticleDOI

Model predictive control: past, present and future

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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Journal ArticleDOI

Failure Diagnosis and Performance Monitoring

TL;DR: Find loads of the failure diagnosis and performance monitoring book catalogues in this site as the choice of you visiting this page.
Proceedings ArticleDOI

A generalized likelihood ratio approach to state estimation in linear systems subjects to abrupt changes

TL;DR: In this paper, the authors consider a class of stochastic linear systems that are subject to jumps of unknown magnitudes in the state variables occurring at unknown times and devise an adaptive filtering system for state estimation and the detection of the jumps.
Journal ArticleDOI

A self-tuning multistep predictor application

TL;DR: A self-tuning multistep predictor that predicts the output of a stochastic process with unknown, possibly slowly time-varying parameters over a range of several sampling periods in the future is presented.
Book ChapterDOI

Failure Detection in Dynamic Systems

TL;DR: With the increased automation of a wide range of man-machine systems, a characteristic of skilled human performance that gains increasing importance relates to the operator’s ability to monitor a system under automated control, to ensure that any departures from normal functioning are efficiently and promptly detected.
Journal ArticleDOI

Leak Detection Methods for Pipelines

TL;DR: In this paper, a nonlinear adaptive state observer and a special correlation technique were developed, based on pressure and flow measurements at the pipeline inlet and outlet, for the early detection and localization of small leaks in pipelines.