Alarm processing and reconfiguration in power distribution systems

Cordier, Marie-Odile; Krivine, Jean-Paul; Laborie, Philippe; Thiébaux, Sylvie

doi:10.1007/3-540-64574-8_409

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Our extension of the formalism of chronicles, facilitates the interactions between local diagnosers, without need of a coordinator to manage their interactions. This represents a remarkable improvement in communication and scalability level, with respect to previous studies [13,14,15,16]. In addition, its implementation is very natural in the case study (a recognizer by service).…”

Section: Results Analysismentioning

confidence: 79%

ARMISCOM: self-healing service composition

Vizcarrondo¹,

Aguilar

Expósito

et al. 2017

SOCA

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A previous work has proposed a reflective middleware Architecture for the management of service-oriented applications. Our middleware is designed to be fully distributed through all services of the SOA Application. The architecture uses the model of Autonomic Computing which allow the adaptation of our system, in order to selfhealing. Particularly, one of the main aspects of this architecture is the representation of the knowledge. Our architecture uses different paradigms for the representation of the knowledge. For the diagnosis task, it uses chronicles, and for the reparation task it uses ontologies. In this paper, we present the knowledge representation framework, which represents the knowledge needed to perform the different operations of the middleware. Specifically, we design a distributed knowledge based on distributed chronicles, ontologies and other data structures.

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Section: Results Analysismentioning

confidence: 79%

ARMISCOM: self-healing service composition

Vizcarrondo¹,

Aguilar

Expósito

et al. 2017

SOCA

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Distributed chronicles for recognition of failures in web services composition

Vizcarrondo¹,

Aguilar

Subias

et al. 2013

2013 XXXIX Latin American Computing Conference (CLEI)

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Progressive power system data interpretation and information dissemination

Hossack

Burt²,

McDonald³

et al.

2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294)

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The diversity and number of power system monitoring devices installed within networks has increased greatly in recent years, resulting in increased data volumes requiring interpretation by engineers. A progressive approach to power system data retrieval, interpretation and information dissemination is presented offering significant time savings and enhanced utility of monitoring devices through dissemination of generated information. Supervisory Control and Data Acquisition (SCADA) alarms are retrieved and interpreted to identify incidents and events. This Information is then further enhanced by the automatic retrieval and interpretation of Digital Fault Recorder (DFR) records and Travelling Wave Fault Locator data records using intelligent systems employing Knowledge Based Systems (KBS) and Model Based Diagnosis (MBD) reasoning paradigms

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Alarm processing and reconfiguration in power distribution systems

Cited by 3 publications

References 3 publications

ARMISCOM: self-healing service composition

ARMISCOM: self-healing service composition

Distributed chronicles for recognition of failures in web services composition

Progressive power system data interpretation and information dissemination

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