A self-validating control system based approach to plant fault detection and diagnosis
Jun Chen,John Howell +1 more
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TLDR
In this paper, an approach is proposed in which fault detection and diagnosis (FDD) tasks are distributed to separate FDD modules associated with each control system located throughout a plant.About:
This article is published in Computers & Chemical Engineering.The article was published on 2001-03-15 and is currently open access. It has received 31 citations till now. The article focuses on the topics: Control reconfiguration & Fault detection and isolation.read more
Citations
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Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
TL;DR: Two case studies are presented to illustrate SDG-based analysis of process flowsheets containing many units and control loops and it is shown that digraph-based steady-state analysis results in good diagnostic resolution.
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A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. 1. Algorithms and Analysis
TL;DR: In this paper, the authors focus on the systematic development of graph models and the conceptual relationship between the analysis of graph model and the underlying mathematical description and the analysis procedures for the graph model.
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A Signed Directed Graph and Qualitative Trend Analysis-Based Framework for Incipient Fault Diagnosis
TL;DR: A combined signed directed graph (SDG) and qualitative trend analysis (QTA) framework for incipient fault diagnosis that combines the completeness property of SDG with the high diagnostic resolution property of QTA.
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A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
TL;DR: In this paper, a unified SDG model for control loops is discussed, in which both disturbances (sensor bias, etc.) as well as structural faults can be easily modeled under steady-state conditions.
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A systematic framework for the development and analysis of signed digraphs for chemical processes. 2. Control loops and flowsheet analysis
TL;DR: In this paper, the authors present a signed digraph (SDG) model for control loops and discuss a framework for application of graph-based approaches at a flowsheet level.
References
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Journal ArticleDOI
A distributed fault diagnosis method based on digraph models : steady-state analysis
S. Mohindra,P.A. Clark +1 more
TL;DR: This work develops a highly modular fault diagnosis methodology using digraph models of process behavior, developed carefully from graph theory, and uses off-line analysis of digraph structure to reduce the on-line computation wherever possible.
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Sensor fault detection via multiscale analysis and nonparametric statistical inference
TL;DR: In this paper, a new approach to sensor validation in real-time is described that is based on representation of the sensor signal by wavelets, decomposition of the signal into different frequency ranges, calculation of useful features at different frequencies, and diagnosis of faulty operation via nonparametric statistical tests.
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The possible cause and effect graphs (PCEG) model for fault diagnosis-II. Applications
N.A. Wilcox,David M. Himmelblau +1 more
TL;DR: Probable cause and effect graphs (PCEG) have been proposed by Wilcox and Himmelblau ( Computers chem. Engng 18, 103-116, 1993) as an extension of and improvement over the use of signed digraphs for fault diagnosis as discussed by the authors.
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Qualitative process modelling: a fuzzy signed directed graph method
TL;DR: A qualitative process modelling method is presented which makes use of a fuzzy graph theory-based Signed Directed Graph (fuzzy-SDG) to represent the mathematical models governing the process systems.
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An example of fault diagnosis by means of probabilistic logic reasoning
Jan Lunze,Frank Schiller +1 more
TL;DR: In this article, an example of an application of qualitative model-based diagnosis is presented, where the approach is based on a probabilistic logic model, and the model consists mainly of conditional probabilities of the form P( effects ∣ causes ).