RSS Uni. Porto Modal decomposition of the dynamic response of wind turbine during one year of continuous monitoring

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Title: Modal decomposition of the dynamic response of wind turbine during one year of continuous monitoring
Abstract: The analysis of the dynamic behavior of wind turbines is a complex task. These structures present diverse configurations, dependent on the wind conditions. Consequently, the dynamic behavior is highly dependent on their operating conditions. This paper analyzes the dynamic behavior of a 2.0 MW wind turbine during 1 year of operation. In that sense, post-processing tools aiming to decompose the measured vibration response of structures into modal responses, originally developed to be applied with the SSI-DATA algorithm, are implemented and applied. Initially, an original data processing that permits the application of these tools to two additional output-only modal identification algorithms is introduced. Then, these tools are applied for the first time to data collected in a wind turbine during a period of 1 year. The obtained results evidenced the effectiveness of the proposed post-processing procedure and the distinct dynamic response of the wind turbine according to its operating conditions.​



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Title: Modal decomposition of the dynamic response of wind turbine during one year of continuous monitoring Abstract: The analysis of the dynamic behavior of wind turbines is a complex task. These structures present diverse configurations, dependent on the wind conditions. Consequently, the dynamic behavior is highly dependent on their operating conditions. This paper analyzes the dynamic behavior of a 2.0 MW wind turbine during 1 year of operation. In that sense, post-processing tools aiming to decompose the measured vibration response of structures into modal responses, originally developed to be applied with the SSI-DATA algorithm, are implemented and applied. Initially, an original data processing that permits the application of these tools to two additional output-only modal identification algorithms is introduced. Then, these tools are applied for the first time to data collected in a wind turbine during a period of 1 year. The obtained results evidenced the effectiveness of the proposed post-processing procedure and the distinct dynamic response of the wind turbine according to its operating conditions.



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