Fuzzy Logic Applied to SCADA Systems

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...

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Detalhes bibliográficos
Autores: Benmessaoud, Tahar, Pliego Marugán, Alberto, Mohammedi, Kamal, García Márquez, Fausto Pedro
Formato: capítulo de livro
Fecha de publicación:2017
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/16083
Acesso em linha:https://doi.org/10.1007/978-3-319-59280-0_61
http://hdl.handle.net/10578/16083
Access Level:acceso abierto
Palavra-chave:Fault detection
Wind farm
Monitoring
SCADA systems
Alarms
Fuzzy logic approach
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spelling Fuzzy Logic Applied to SCADA SystemsBenmessaoud, TaharPliego Marugán, AlbertoMohammedi, KamalGarcía Márquez, Fausto PedroFault detectionWind farmMonitoringSCADA systemsAlarmsFuzzy logic approachThis 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.Springer201720172017info:eu-repo/semantics/bookPartapplication/pdfapplication/pdfhttps://doi.org/10.1007/978-3-319-59280-0_61http://hdl.handle.net/10578/16083reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésResearch Grants DPI2015-67264-P and RTC-2016-5694-3.info:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/160832026-05-27T07:36:41Z
dc.title.none.fl_str_mv Fuzzy Logic Applied to SCADA Systems
title Fuzzy Logic Applied to SCADA Systems
spellingShingle Fuzzy Logic Applied to SCADA Systems
Benmessaoud, Tahar
Fault detection
Wind farm
Monitoring
SCADA systems
Alarms
Fuzzy logic approach
title_short Fuzzy Logic Applied to SCADA Systems
title_full Fuzzy Logic Applied to SCADA Systems
title_fullStr Fuzzy Logic Applied to SCADA Systems
title_full_unstemmed Fuzzy Logic Applied to SCADA Systems
title_sort Fuzzy Logic Applied to SCADA Systems
dc.creator.none.fl_str_mv Benmessaoud, Tahar
Pliego Marugán, Alberto
Mohammedi, Kamal
García Márquez, Fausto Pedro
author Benmessaoud, Tahar
author_facet Benmessaoud, Tahar
Pliego Marugán, Alberto
Mohammedi, Kamal
García Márquez, Fausto Pedro
author_role author
author2 Pliego Marugán, Alberto
Mohammedi, Kamal
García Márquez, Fausto Pedro
author2_role author
author
author
dc.subject.none.fl_str_mv Fault detection
Wind farm
Monitoring
SCADA systems
Alarms
Fuzzy logic approach
topic Fault detection
Wind farm
Monitoring
SCADA systems
Alarms
Fuzzy logic approach
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://doi.org/10.1007/978-3-319-59280-0_61
http://hdl.handle.net/10578/16083
url https://doi.org/10.1007/978-3-319-59280-0_61
http://hdl.handle.net/10578/16083
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Research Grants DPI2015-67264-P and RTC-2016-5694-3.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,223283

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