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Open AccessJournal ArticleDOI

A self-validating control system based approach to plant fault detection and diagnosis

Jun Chen, +1 more
- 15 Mar 2001 - 
- Vol. 25, Iss: 2, pp 337-358
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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.
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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.

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Citations
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Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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

Multiscale PCA with application to multivariate statistical process monitoring

TL;DR: Multiscale Principal Component Analysis (MSPCA) as mentioned in this paper combines the ability of PCA to decorrelate the variables by extracting a linear relationship with that of wavelet analysis to extract deterministic features and approximately decorrelation of autocorrelated measurements.
Journal ArticleDOI

Performance assessment measures for univariate feedback control

TL;DR: In this paper, a normalized performance index, η(b), is introduced to characterize the performance of feedback control schemes, which is attractive because it provides a measure of the proximity of control to minimum variance control provided that the process can be described by a linear transfer function with additive disturbance.
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Subspace approach to multidimensional fault identification and reconstruction

TL;DR: In this paper, the fundamental issues of detectability, reconstructability, and isolatability for multidimensional faults are studied using principal component analysis (PCA) and partial least squares.
Journal ArticleDOI

An algorithm for diagnosis of system failures in the chemical process

TL;DR: In order to eliminate carrying out the complicated and inefficient quantitative simulation, the mathematical model of the system structure to represent the rpopagation of failures is simplified in a qualitative fashion.
Journal ArticleDOI

A rule-based approach to fault diagnosis using the signed directed graph

TL;DR: A very efficient method of identifying the possible causes of process disturbances using the signed directed graph (digraph) representation of process interactions and can be integrated with other rules on plant operations using an expert systems framework.
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