Support Vector Machine for False Alarm Detection in Wind Turbine Management
| Autor: | Fausto Pedro García Márquez, Isaac Segovia Ramírez, Ana María Peco Chacón |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Wind power
Computer science business.industry 020209 energy 020208 electrical & electronic engineering Real-time computing Process (computing) 02 engineering and technology Turbine Renewable energy Support vector machine SCADA Analytics 0202 electrical engineering electronic engineering information engineering False alarm business |
| Zdroj: | 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA). |
| DOI: | 10.1109/iccia52082.2021.9403529 |
| Popis: | Wind energy is one of the most growing renewable energy. A proper maintenance management policy is needed to ensure the viability of wind farms. Supervisory control and data acquisition systems are used to monitor and control the condition of wind turbines. The volume of data obtained by monitoring systems requires of advanced analytics based on artificial intelligence algorithms to process the information. The novelty developed in this work is the implantation of support vector machine algorithm for the prediction and detection of false alarms. A real case study is presented with dataset from a real wind turbine with the objective of identifying false alarms. The results show accuracy values around 98%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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