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Identification and Analysis of Aerodynamic Sound Sources in Wind Turbines Based on the Integration of Time-Domain De-Doppler and Orthogonal Matching Pursuit Techniques.

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Title: Identification and Analysis of Aerodynamic Sound Sources in Wind Turbines Based on the Integration of Time-Domain De-Doppler and Orthogonal Matching Pursuit Techniques.
Authors: Wang, Peng1,2 (AUTHOR), Gao, Zhiying1,2 (AUTHOR) hawkwarm@imut.edu.cn, Chen, Yongyan1 (AUTHOR), Su, Rina1,2 (AUTHOR), Bai, Yefei2 (AUTHOR), Ma, Jianlong1,2 (AUTHOR), Zhang, Tianhao1 (AUTHOR)
Source: Energy Engineering. 2026, Vol. 123 Issue 6, p1-24. 24p.
Subjects: Wind turbines, Orthogonal matching pursuit, Array processing, Deconvolution (Mathematics), Doppler effect, Acoustic localization, Aerodynamic noise
Abstract: We propose a novel procedure, Time-Domain De-Dopplerized Orthogonal Matching Pursuit deconvolution approach for the mapping of acoustic sources (TD-OMP-DAMAS), for separating aerodynamic noise sources distributed across wind turbine blades (WTB), a task that is typically hindered by mutual interference and spatial mixing. The proposed procedure is a two-stage, hybrid de-Doppler/sparse-reconstruction algorithm based on time-domain de-Doppler (TD, Stage 1) and an orthogonal matching pursuit (OMP)-based deconvolution scheme (Stage 2), enabling sparse-reconstruction techniques to be effectively applied in rotating-source scenarios. The method is validated using both simulated rotating-source data and wind-tunnel measurements, and its performance is systematically compared with several conventional approaches, including conventional beamforming (CBF), time-domain de-Doppler beamforming (TD-BF), and time-domain de-Doppler deconvolution approach for the mapping of acoustic sources (TD-DAMAS). Numerical results demonstrate that TD-OMP-DAMAS achieves the smallest localization error and the highest spatial resolution among all tested algorithms, while also maintaining strong robustness under low signal-to-noise ratio conditions and requiring significantly fewer iterations than TD-DAMAS to accurately converge to the true source positions. Wind-tunnel tests further show that, under an inflow velocity of 6 m/s and a tip-speed ratio of 4.5, the method improves spatial resolution by approximately 89% compared with CBF, confirming its superior capability in separating aerodynamic sources located on different WTB. [ABSTRACT FROM AUTHOR]
Copyright of Energy Engineering is the property of Tech Science Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 194058231
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: Identification and Analysis of Aerodynamic Sound Sources in Wind Turbines Based on the Integration of Time-Domain De-Doppler and Orthogonal Matching Pursuit Techniques.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Peng%22">Wang, Peng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Zhiying%22">Gao, Zhiying</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hawkwarm@imut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yongyan%22">Chen, Yongyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Rina%22">Su, Rina</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bai%2C+Yefei%22">Bai, Yefei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Jianlong%22">Ma, Jianlong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Tianhao%22">Zhang, Tianhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energy+Engineering%22">Energy Engineering</searchLink>. 2026, Vol. 123 Issue 6, p1-24. 24p.
– Name: Subject
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+matching+pursuit%22">Orthogonal matching pursuit</searchLink><br /><searchLink fieldCode="DE" term="%22Array+processing%22">Array processing</searchLink><br /><searchLink fieldCode="DE" term="%22Deconvolution+%28Mathematics%29%22">Deconvolution (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Doppler+effect%22">Doppler effect</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+localization%22">Acoustic localization</searchLink><br /><searchLink fieldCode="DE" term="%22Aerodynamic+noise%22">Aerodynamic noise</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We propose a novel procedure, Time-Domain De-Dopplerized Orthogonal Matching Pursuit deconvolution approach for the mapping of acoustic sources (TD-OMP-DAMAS), for separating aerodynamic noise sources distributed across wind turbine blades (WTB), a task that is typically hindered by mutual interference and spatial mixing. The proposed procedure is a two-stage, hybrid de-Doppler/sparse-reconstruction algorithm based on time-domain de-Doppler (TD, Stage 1) and an orthogonal matching pursuit (OMP)-based deconvolution scheme (Stage 2), enabling sparse-reconstruction techniques to be effectively applied in rotating-source scenarios. The method is validated using both simulated rotating-source data and wind-tunnel measurements, and its performance is systematically compared with several conventional approaches, including conventional beamforming (CBF), time-domain de-Doppler beamforming (TD-BF), and time-domain de-Doppler deconvolution approach for the mapping of acoustic sources (TD-DAMAS). Numerical results demonstrate that TD-OMP-DAMAS achieves the smallest localization error and the highest spatial resolution among all tested algorithms, while also maintaining strong robustness under low signal-to-noise ratio conditions and requiring significantly fewer iterations than TD-DAMAS to accurately converge to the true source positions. Wind-tunnel tests further show that, under an inflow velocity of 6 m/s and a tip-speed ratio of 4.5, the method improves spatial resolution by approximately 89% compared with CBF, confirming its superior capability in separating aerodynamic sources located on different WTB. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energy Engineering is the property of Tech Science Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.32604/ee.2025.073862
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
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      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Orthogonal matching pursuit
        Type: general
      – SubjectFull: Array processing
        Type: general
      – SubjectFull: Deconvolution (Mathematics)
        Type: general
      – SubjectFull: Doppler effect
        Type: general
      – SubjectFull: Acoustic localization
        Type: general
      – SubjectFull: Aerodynamic noise
        Type: general
    Titles:
      – TitleFull: Identification and Analysis of Aerodynamic Sound Sources in Wind Turbines Based on the Integration of Time-Domain De-Doppler and Orthogonal Matching Pursuit Techniques.
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            NameFull: Wang, Peng
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            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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              Value: 123
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