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Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines

dc.contributor.authorZivanovic, Miroslav
dc.contributor.authorPlaza Puértolas, Aitor
dc.contributor.authorIriarte Goñi, Xabier
dc.contributor.authorCarlosena García, Alfonso
dc.contributor.departmentIngenieríaes_ES
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua, 0011-1365-2021-000159.es
dc.date.accessioned2023-02-15T15:57:06Z
dc.date.available2023-02-15T15:57:06Z
dc.date.issued2023
dc.date.updated2023-02-15T15:02:34Z
dc.description.abstractWe present a novel approach to harmonic disturbance removal in single-channel wind turbine acceleration data by means of time-variant signal modeling. Harmonics are conceived as a set of quasi-stationary sinusoids whose instantaneous amplitude and phase vary slowly and continuously in a short-time analysis frame. These non-stationarities in the harmonics are modeled by low-degree time polynomials whose coefficients capture the instantaneous dynamics of the corresponding waveforms. The model is linear-in-parameters and is straightforwardly estimated by the linear least-squares algorithm. Estimates from contiguous analysis frames are further combined in the overlap-add fashion in order to yield overall harmonic disturbance waveform and its removal from the data. The algorithm performance analysis, in terms of input parameter sensitivity and comparison against three state-of-the-art methods, has been carried out with synthetic signals. Further model validation has been accomplished through real-world signals and stabilization diagrams, which are a standard tool for determining modal parameters in many time-domain modal identification algorithms. The results show that the proposed method exhibits a robust performance particularly when only the average rotational speed is known, as is often the case for stand-alone sensors which typically carry out data pre-processing for structural health monitoring. Moreover, for real-world analysis scenarios, we show that the proposed method delivers consistent vibration mode parameter estimates, which can straightforwardly be used for structural health monitoring.en
dc.description.sponsorshipThis work has been supported by the Spanish Research Agency under grant AEI/FEDER, PID2019-107258RB-C32, and also by the Government of Navarre (Dpt. Of Economic and Business Development) under grant 0011-1365-2021-000159.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZivanovic, M., Plaza, A., Iriarte, X., Carlosena, A. (2023) Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines. Mechanical Systems & Signal Processing, 189(110095), 1-25. https://doi.org/10.1016/j.ymssp.2023.110095.en
dc.identifier.doi10.1016/j.ymssp.2023.110095
dc.identifier.issn0888-3270
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44729
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofMechanical Systems & Signal Processing 189 (2023) 110095en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.ymssp.2023.110095
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectWind turbineen
dc.subjectHarmonic disturbancesen
dc.subjectNon-stationary signal modelingen
dc.subjectStructural Health Monitoring (SHM)en
dc.subjectOperational Modal Analysis (OMA)en
dc.subjectRotary machineryen
dc.titleInstantaneous amplitude and phase signal modeling for harmonic removal in wind turbinesen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
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relation.isAuthorOfPublication236809d6-78a4-4e83-b534-b3981785886e
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relation.isAuthorOfPublication.latestForDiscoverydc2b0e94-3db8-470e-8912-58ae1b092ba7

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