Model Based Diagnostic Module for a FCC Pilot Plant

Celse, Benoit; Cauvin, Sylvie; Heim, Bruno; Gentil, Sylviane; Travé-Massuyès, Louise

doi:10.2516/ogst:2005047

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…• Diagraph (Graph with directed arcs between the nodes) [45] • Bond graphs [46] • SDG -Signed direct graph [47] • ESDG -Extended SDG [48] • PCEG -Possible cause and effect graph models [49,50] • HDG -HAZOP-digraph models [51] • SCC -Strongly Connected Component [52] • MSCC -Maximal strongly connected component [53] • Causal Graphs [54] • Chronicles [13,55,56] • Fault trees [57] II. Qualitative physics:…”

Section: Model -Based Techniquesmentioning

confidence: 99%

Diagnosis in industrial processes

Capacho¹

2018

Vis. Electron.

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This article describes the most important aspects in the diagnosis of failures on industrial processes. An analysis of process safety is seen from monitoring tools including expert systems as well as intelligent hybrid models. The article continues to identify aspects such as reliability, risk analysis, fault diagnosis techniques and industrial control and safety systems in processes. Reliability and risk analysis provide important information in a process safety tool; analyzes such as HAZOP, FMEA, Fault trees and Bow tie are described through this article. Then compiled and summarized the different techniques and models of fault diagnosis concluding with a presentation of control and safety systems in an industrial process

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Section: Model -Based Techniquesmentioning

confidence: 99%

Diagnosis in industrial processes

Capacho¹

2018

Vis. Electron.

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“…The hierarchical description of large scale complex systems is based on the decomposition and approximate aggregation , where a simple SDG level model can be transformed into a hierarchical model which makes it easier in the understanding of a complex system. [44] [45] [46] The SDG model could be classified into three levels in a pyramid structure, even if the system is very large more levels can be considered. The upper level is also called system where the first level is divided into several subsystems, sub-systems that can behave as separate components or interconnecting components that can not be separated.…”

Section: Qualitative Graphic Modelmentioning

confidence: 99%

“…Each influence is generally associated with a physical component, so if a variable influences another, the relationship of influence is associated with a component. The group of equations establishes the Structural Relation Model (SRM) which generated in five steps the Causal Model Structure (CMS) [46] [48]…”

Section: Causal Graph Generationmentioning

confidence: 99%

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Techniques for Alarm Management With Fault Diagnostic System in Startups and Shutdowns for Industrial Processes

Capacho

2014

tecciencia

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This paper presents a preliminary study of the different techniques that can be used for fault diagnostics in industial processes specially on the startup and shutdown procedures. A review of these thecniques from the perspective of how its can be used for Alarm management is presented, followed by an analisys of fault diagnostic in complex systems passing techniques like the causal graph. Another technique exposed is the use of chronicles as a robust method for fault diagnosis; in a first part we examine aspects as diagnostic, Timed Diagnosability, then propose an automated translation of chronicles, and how it can be used on the alarm management in a starting or shutdown plant. Concluding with a preliminar methodolgy propoused that includes the use of tha causal graph with the chronicles in an Alarm management.Keywords: Alarm management, Causal Graph, Chronicle, Fault diagnostic, Timed diagnosis. ResumenEn este trabajo se presenta un estudio preliminar de las diferentes tecnicas que se pueden utilizar para el diagnostico de fallas en los procesos industriales epecialemnte en los procedimientos de inicio y parado. Una revisión de estas tecnicas desde la perspectiva de como se pueden utilizar para la gestion de alaarmas es presentada, seguido de un análisis del diagnóstico de fallas en sistema complejos pasando a tecnicas como la grafica casual. Otra tecnica expuesta es el uso de cronicas como un metodo robusto para el diagnostico de fallas; en una primera parte se examinan aspectos como el diagnostico, diagnosticabilidad temporizada, luego se propone un traslado automatizado de cronicas y la forma en que se puede utilizar en la gestion de alarmas en una planta, en el arranque o el apagado. Concluyendo con una propuesta metodologia prelimianr que incluye el uso de grafico casual con las cornicas para la gestion de alarmas.Palabras clave: Gestión de alarmas, grafica casual, crónica, diagnostico de fallas.

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“…Son múltiples los tipos de modelos utilizados para la detección y el diagnóstico de fallos en procesos industriales. En (Celse et al, 2005) se plantea el uso de modelos con secuencias de eventos discretos, para realizar la detección y el diagnóstico de fallos en una planta piloto de FCC. Los enfoques más importantes en esta área se muestran a continuación.…”

Section: Estado Del Arteunclassified

Integracion De Tecnicas Y Las Secuencias De Alarmas Para La Deteccion Y El Diagnostico De Fallos

Aguilar¹,

Fernando²

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Model Based Diagnostic Module for a FCC Pilot Plant

Cited by 8 publications

References 16 publications

Diagnosis in industrial processes

Diagnosis in industrial processes

Techniques for Alarm Management With Fault Diagnostic System in Startups and Shutdowns for Industrial Processes

Integracion De Tecnicas Y Las Secuencias De Alarmas Para La Deteccion Y El Diagnostico De Fallos

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