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ARMISCOM: Autonomic reflective middleware for management service composition
TLDR
We propose a middleware architecture for the diagnosis of fully distributed service compositions called ARMISCOM, which is not coordinated by any global diagnoser. Expand
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Process situation assessment: From a fuzzy partition to a finite state machine
TLDR
This paper studies the theoretical and practical steps necessary for the construction of a finite state machine or automaton that, by exhibiting the present situation, and the possible expected transitions, will help the human operator in the online monitoring task. Expand
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Learning Chronicles Signing Multiple Scenario Instances
TLDR
Chronicle recognition is an efficient and robust method for fault diagnosis. Expand
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A Chronicle-based Diagnosability Approach for Discrete Timed-event Systems: Application to Web-Services
TLDR
This paper addresses the problem of diagnosability analysis in Web Services. Expand
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INTERMITTENT FAULT DIAGNOSIS: A DIAGNOSER DERIVED FROM THE NORMAL BEHAVIOR
Abstract This paper deals with an approach for the localization of intermittent faults in discrete events systems with partial observability. The proposed methods are based on a discrete events modelExpand
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Alarm management based on diagnosis
Abstract The transitions between operational modes (start up/shut down) in chemical processes generate alarm floods and cause critical alarm saturation. We propose in this paper an approach of alarmExpand
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Diagnosis of supervision patterns on bounded labeled Petri nets by Model Checking
TLDR
This paper investigates the problem of pattern diagnosis of systems modeled as bounded labeled Petri nets that extends the diagnosis problem on single fault events to more complex behaviours. Expand
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Approche multi-modèles pour la commande et la surveillance en temps réel des systèmes à évènements discrets
Le travail presente s'integre dans le domaine de la surveillance en temps reel des systemes a evenements discrets. Une approche de la commande et de la surveillance dans le contexte particulier desExpand
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Classification Tool Based on Interactivity Between Expertise and Self-Learning Techniques 1
Abstract The present work proposes a learning methodology to identify process situations from measured data with a direct participation of the expert. The classification technique is based in LAMDAExpand
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Chronicle modeling by Petri nets for distributed detection of process failures
TLDR
In this paper, distributed detection of process failures is studied. Expand
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