Journal ArticleDOI
A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
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TLDR
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.About:
This article is published in Chemical Engineering Science.The article was published on 2006-03-01. It has received 83 citations till now. The article focuses on the topics: Control theory & Fault (power engineering).read more
Citations
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Journal ArticleDOI
Fault detection in dynamic systems by a Fuzzy/Bayesian network formulation
Marcos Flávio Silveira Vasconcelos D’Angelo,Reinaldo M. Palhares,Luciana Balieiro Cosme,Lucas A. Aguiar,Felipe S. Fonseca,Walmir Matos Caminhas +5 more
TL;DR: The fault detection problem is solved using an alternative methodology based on a fuzzy/Bayesian strategy combining a Bayesian network and the fuzzy set theory, and the new important issue is to address uncertainties in the input of the Bayesian Network.
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A new fault classification approach applied to Tennessee Eastman benchmark process
Marcos Flávio Silveira Vasconcelos D’Angelo,Reinaldo M. Palhares,Murilo Cesar Osorio Camargos Filho,Renato Dourado Maia,Joo B. Mendes,Petr Ekel +5 more
TL;DR: This study presents a data-based methodology for fault detection and isolation in dynamic systems based on fuzzy/Bayesian approach for change point detection associated with a hybrid immune/neural formulation for pattern classification applied to the Tennessee Eastman benchmark process.
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Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity
TL;DR: A method for integrating process causality and topology which ultimately enables to determine the propagation path of oscillations in control loops is presented.
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An intelligent fault diagnosis system for process plant using a functional HAZOP and DBN integrated methodology
TL;DR: The study shows that the IFDS provides a very efficient paradigm for facilitating HAZOP studies and for enabling reasoning to reveal potential causes and/or consequences far away from the site of the deviation online, as well as providing a probability-based knowledge representation for causal processes with uncertainty.
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Improved qualitative fault propagation analysis
TL;DR: In this article, a framework is proposed to synthesize and assess all possible fault propagation scenarios based on robust modeling methodology, where deviations are identified and associated with symptoms, faults, causes, and consequences.
References
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Depth-First Search and Linear Graph Algorithms
TL;DR: The value of depth-first search or “backtracking” as a technique for solving problems is illustrated by two examples of an improved version of an algorithm for finding the strongly connected components of a directed graph.
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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.
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A review of process fault detection and diagnosis: Part III: Process history based methods
TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
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A review of process fault detection and diagnosis Part II : Qualitative models and search strategies
TL;DR: This part of the paper reviews qualitative model representations and search strategies used in fault diagnostic systems and broadly classify them as topographic and symptomatic search techniques.
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Algorithms for constraint-satisfaction problems: a survey
TL;DR: A large number of problems in AI and other areas of computer science can be viewed as special cases of the constraint-satisfaction problem, and a number of different approaches have been developed for solving them.