ICMSEM 2017: Proceedings of the Eleventh International Conference on Management Science and Engineering Management pp 749-757 | Cite as
Fuzzy Logic Applied to SCADA Systems
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.
Keywords
Wind farm Monitoring SCADA Alarms Fuzzy logic approachNotes
Acknowledgements
The work reported herewith has been financially supported by the Spanish Ministerio de Economáa y Competitivid ad, under Research GrantsDPI2015-67264-P and RTC-2016-5694-3.
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