SCADA data analytics for fault detection and diagnosis of wind turbines
| Autor: | Fausto Pedro García Márquez, Ana María Peco Chacón |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Downtime
Wind power business.industry Computer science 020209 energy 020208 electrical & electronic engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Turbine Wind speed Fault detection and isolation Reliability engineering SCADA Analytics 0202 electrical engineering electronic engineering information engineering Data analysis business |
| Zdroj: | 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA). |
| DOI: | 10.1109/iccia52082.2021.9403538 |
| Popis: | Wind farms require advanced monitoring systems to increase the reliability of the turbines. A critical component is the gearbox of wind turbines because of its high failure cost and large downtime. Supervisory control and data acquisition and monitoring systems employed in wind turbines generate large amounts of data. This data set must be processed with advanced analytics to become useful information for the reliability of the turbine. The novelty of this paper is based on the adjustment of the wind speed curve versus gearbox temperatures for the analysis of the alarms produced in the gearbox, being the data from the supervisory control and data acquisition and monitoring systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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