Diagnosis of a class of distributed discrete-event systems

Baroni, Pietro; Lamperti, Gianfranco; Pogliano, Paolo; Zanella, Marina

doi:10.1109/3468.895897

Cited by 44 publications

(17 citation statements)

References 9 publications

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“…In this sense, the applicability of the original methodology for failure diagnosis based on DES can be seriously restricted unless a modular decomposition of the system is considered (García and Morant, 1999;García, 2000;Pencolé , 2004;Ricker and Van Schuppen, 2001;Ricker and Fabre, 2000;Baroni et al, 2000).…”

Section: Modular Decompositionmentioning

confidence: 98%

Centralized Modular Diagnosis and the Phenomenon of Coupling

Moreno

Salvador

Morant

et al. 2006

Discrete Event Dyn Syst

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This paper studies modular decomposition as an approach for failure diagnosis based on Discrete Event Systems. This paper also analyses the problem of coupling produced in the implementation of centralized modular diagnosers, as coupled diagnosers cannot carry out their own diagnosis task, when there is a failure in another subsystem sharing a common energy or material flow. In addition, we propose a method to avoid diagnoser coupling, by means of decoupling functions using non-local information with respect to the coupled diagnoser and generated in the diagnoser where the failure has been isolated.

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Section: Modular Decompositionmentioning

confidence: 98%

Centralized Modular Diagnosis and the Phenomenon of Coupling

Moreno

Salvador

Morant

et al. 2006

Discrete Event Dyn Syst

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“…In Baroni et al (2000) a method for diagnosing distributed active DES's is presented. They develop observers for each subsystem and perform a global diagnosis using communication.…”

Section: Other Approaches To Modular Diagnosismentioning

confidence: 99%

Modular Fault Diagnosis Based on Discrete Event Systems

García

Correcher

Morant

et al. 2005

Discrete Event Dyn Syst

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An awareness of failure type and location is an indispensable requirement for the establishment of adequate recovery strategies and the maintenance of Factory Automation and Process Control systems.The failure diagnosis methodology presented in this paper is based on Discrete Event Systems models and in the diagnoser concept, which enable the off-line and on-line analysis of systems failures. We present an approach for models and associated diagnosers based on a modular decomposition of the global system, with the aim of avoiding problems of exponential explosion in the number of states and computational complexity of the diagnosis process.

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“…An alternative approach for discrete-event models has been presented in [8] and in more details in [9] for untimed discrete-event systems and explicitly modelled fault states. The diagnosis does not require a model of the overall process or a global diagnoser as in [2] but decomposes the problem into less complex subproblems by treating systems as assemblies of components.…”

Section: Introductionmentioning

confidence: 99%

Modelling and hierarchical diagnosis of timed discrete-event systems

Schullerus

Supavatanakul

Krebs

et al. 2006

Mathematical and Computer Modelling of Dynamical Systems

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A new diagnostic method for hierarchically structured discrete-event systems is presented. The efficiency of this method results from the fact that the complexity of the diagnostic task is reduced by first detecting a faulty component using a coarse process model on a high level of abstraction, and subsequently refining the result by investigating the faulty component with the help of a detailed component model in order to identify the fault with sufficient precision. On both abstraction levels, the method uses a timed discrete-event model of the appropriate part of the system. On the higher abstraction level a timed event graph is used that describes how the temporal distance of the events is changed by component faults. On the lower level of abstraction, timed automata are used to cope with the non-determinism of the event sequence generated by the faulty and faultless components. The approach is illustrated by the diagnosis of a batch process.

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Diagnosis of a class of distributed discrete-event systems

Cited by 44 publications

References 9 publications

Centralized Modular Diagnosis and the Phenomenon of Coupling

Centralized Modular Diagnosis and the Phenomenon of Coupling

Modular Fault Diagnosis Based on Discrete Event Systems

Modelling and hierarchical diagnosis of timed discrete-event systems

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