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Fuzzy Logic Applied to SCADA Systems

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dc.contributor.author Benmessaoud, Tahar
dc.contributor.author Pliego Marugán, Alberto
dc.contributor.author Mohammedi, Kamal
dc.contributor.author García Márquez, Fausto Pedro
dc.date.accessioned 2017-12-15T16:21:37Z
dc.date.available 2017-12-15T16:21:37Z
dc.date.issued 2017-06-29
dc.identifier.citation Lecture Notes on Multidisciplinary Industrial Engineering es_ES
dc.identifier.isbn 978-3-319-59279-4
dc.identifier.uri http://hdl.handle.net/10578/16083
dc.description.abstract This article focuses on the monitoring of a wind farm in real time based on big data collected by Supervisory Control and Data Acquisition (SCADA) system. The decision- making of the type of maintenance to be applied can be insured by SCADA system. This system generates alarms based on the collected data. False alarms cause false interventions by the maintenance team resulting in loss of production and costs. The reduction of these false alarms makes it possible to contribute better to the management of the maintenance of the wind farm. In this paper, we propose a new approach for the identification of alarms by Fuzzy Logic based on the data collected by the SCADA system. The alarms generated in this case can be divided into two categories: orange alarms corresponding to faults requiring the intervention of preventive maintenance and red alarms corresponding to critical states that can cause system failures. es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.publisher Springer es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.subject Fault detection es_ES
dc.subject Wind farm es_ES
dc.subject Monitoring es_ES
dc.subject SCADA systems es_ES
dc.subject Alarms es_ES
dc.subject Fuzzy logic approach es_ES
dc.title Fuzzy Logic Applied to SCADA Systems es_ES
dc.type info:eu-repo/semantics/bookPart es_ES
dc.relation.projectID Research Grants DPI2015-67264-P and RTC-2016-5694-3. es_ES
dc.identifier.DOI https://doi.org/10.1007/978-3-319-59280-0_61

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