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https://hdl.handle.net/10216/166632| Author(s): | Cunha, A. Pereira, S. Pacheco, J. Pimenta, F. Moutinho, C. Magalhães, F. |
| Title: | Validation of an Automated Approach for the Definition of Reference Modal Properties on Onshore Wind Turbines |
| Issue Date: | 2023 |
| Abstract: | The continuous application of Operational Modal Analysis (OMA) to time-series recorded on civil engineering structures, and the subsequent tracking of modal properties, allow the characterization of the evolution of their dynamic behaviour, which is particularly important on wind turbines, since their structural performance is highly dependent on it. However, it is impractical to manually analyse long periods of data, being essential to automatize OMA and to link results obtained in different datasets, which can be achieved through the comparison between a reliable set of references and the estimated modal properties. Nevertheless, the establishment of such a set of references is usually accomplished through a manual analysis, which is time-consuming and may produce a biased result. Furthermore, due to the impact of the operating conditions on the modal properties, several sets of references should be defined, making this process even more longstanding and prone to subjectivity. Therefore, the present work validates a clustering-based approach to automatically obtain a group of reference properties to be used in the tracking of the modal properties of an onshore wind turbine, resorting to data from a continuous monitoring program in Portugal. (c) 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| DOI: | 10.1007/978-3-031-39109-5_3 |
| URI: | https://hdl.handle.net/10216/166632 |
| Source: | Lecture Notes in Civil Engineering |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 666962.pdf Restricted Access | 1.87 MB | Adobe PDF | View/Open |
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