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...
| Autores: | , , , |
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| 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 |
| Resumo: | 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. |
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