A self-validating control system based approach to plant fault detection and diagnosis
Jun Chen,John Howell +1 more
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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Selecting tools and techniques for model-based diagnosis
TL;DR: A methodology for the selection of candidate generation and prediction techniques for model-based diagnostic systems (MBDS) and a set of guidelines for selecting tools and techniques in the solution space given descriptions of diagnostic tasks in the problem space are proposed.
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Critical values for a steady-state identifier
TL;DR: In this article, a table of critical values for a recently proposed R -statistic for steady-state identification is presented, and the power of the R-test is also discussed.
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TL;DR: In this paper, a recursive search scheme is used first to isolate the candidate sources of gross errors and then simultaneous identification/estimation of gross error in linear steady state processes is accomplished.
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Sensor, actuator, and loop validation
TL;DR: In this paper, the authors discuss validation features which are best embedded in local devices and discuss generic validation and its reporting to the "next level up" for advanced control of distributed Fieldbus devices.
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Sensitivity calculations and variance analysis in plant measurement reconciliation
TL;DR: In this article, the authors extract more information from the Jacobian matrix of the constraint equations and use it to identify key measurements for which any enhancement of accuracy would result in significant improvement in the quality of the process validation.