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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Journal ArticleDOI
Brief paper: Fault location using digraph and inverse direction search with application
TL;DR: A fault location method for large-scale plants is described, applied to pump and evaporation plants, where the failure propagation probabilities and the failure rates of the devices are used to evaluate the priority ranking among the screened candidates.
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Unbiased estimation of gross errors in process measurements
TL;DR: In this article, a new approach to gross error detection provides unbiased estimates and 100(1-α)% simultaneous confidence intervals of process variables when biased process measurements and process leaks exist.
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Paper: Performance monitoring of control systems using likelihood methods
Matthew L. Tyler,Manfred Morari +1 more
TL;DR: A framework is proposed in which acceptable performance is expressed as constraints on the closed-loop transfer function impulse response coefficients using likelihood methods, and a hypothesis test is outlined to determine if control deterioration has occurred.
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Diagnostic Tools for Multivariable Model-Based Control Systems
Parthasarathy Kesavan,Jay H. Lee +1 more
TL;DR: Two simple diagnostic tests are proposed, on the basis of prediction error analysis, to detect the performance degradation and bifurcate the potential causes for the degradation in multivariable model-based control systems.
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Narrowing diagnostic focus using functional decomposition
F. E. Finch,Mark A. Kramer +1 more
TL;DR: A technique is presented for narrowing diagnostic focus useful in the first stages of a diagnostic search, based on a decomposition of the process according to function, which assesses the functionality of process systems based on measurements of controlled and manipulated variables.