Timed Diagnosability Analysis Based on Chronicles

Gougam, Houssam-Eddine; Subias, Albert Corominas; Pencolé, Yannick

doi:10.3182/20120829-3-mx-2028.00169

Cited by 2 publications

(2 citation statements)

References 7 publications

(10 reference statements)

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“…It was also used by the Telecom operators for fault diagnosis in telecommunication networks [5] or for the diagnosis of web service failures [6,7]. Lately, to deal with the time aspects inherent to the chronicles, the authors in [8] propose an automated translation of chronicles into a set of Labeled Time Petri Nets with Priorities (LTPNPr). e aim of this study was to improve the characterization of diagnosability for a discrete event system by taking into account the notion of finite durations between the occurrence of two events.…”

Section: Introductionmentioning

confidence: 99%

Distributed Monitoring Based on P-Time Petri Nets and Chronicle Recognition of the Tunisian Railway Network

Mhalla

Lefebvre

Gaied

2020

Journal of Electrical and Computer Engineering

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This paper falls under the problems of the monitoring of a Discrete Event System (DES) with time constraints. Among the various techniques used for online and distributed monitoring, we are interested in the chronicle recognition. Chronicles are temporal patterns that represent the system’s possible evolutions. The proposed models are based on P-time Petri nets that are suitable to represent with accuracy and modularity the Tunisian railway network. These models are scalable and may be used to represent a large variety of railway networks. Then, monitoring is based on the generation of chronicles that are suitable to detect and isolate traffic incidents in a distributed setting. Consequently, the proposed approach is tractable for large networks. Finally, to demonstrate the effectiveness and accuracy of the approach, an application to the case study of the Tunisian railway network is outlined.

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Section: Introductionmentioning

confidence: 99%

Distributed Monitoring Based on P-Time Petri Nets and Chronicle Recognition of the Tunisian Railway Network

Mhalla

Lefebvre

Gaied

2020

Journal of Electrical and Computer Engineering

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“…A good account is used to describe a situation based on their observable effects [62]. In a diagnostic approach based on chronicle, each abnormal situation (ie, a failure) is usually associated with a number of chronic, chronic recognizes each sub-part of the corresponding error associated with this sequence.…”

Section: Automated Translation Of Chroniclesmentioning

confidence: 99%

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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Timed Diagnosability Analysis Based on Chronicles

Cited by 2 publications

References 7 publications

Distributed Monitoring Based on P-Time Petri Nets and Chronicle Recognition of the Tunisian Railway Network

Distributed Monitoring Based on P-Time Petri Nets and Chronicle Recognition of the Tunisian Railway Network

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

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