Spatial and temporal reconstruction of unsteady rotating forces through an inverse acoustic method

Journal Article (2023)
Authors

Ying Xu (Hefei University of Technology)

Xiao Zheng Zhang (Hefei University of Technology)

Damiano Casalino (TU Delft - Wind Energy)

Chuan Xing Bi (Hefei University of Technology)

Research Group
Wind Energy
Copyright
© 2023 Y. Xu, Xiao Zheng Zhang, D. Casalino, Chuan Xing Bi
To reference this document use:
https://doi.org/10.1016/j.ymssp.2023.110596
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Y. Xu, Xiao Zheng Zhang, D. Casalino, Chuan Xing Bi
Research Group
Wind Energy
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
200
DOI:
https://doi.org/10.1016/j.ymssp.2023.110596
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

An inverse acoustic method is presented in this work, which allows to determine the spatial and temporal distribution of unsteady rotating forces from microphone array measurements. The method is based on the usage of a space–time regularization with a mixed norm. The proposed method can take advantage of a prior knowledge of the space–time characteristics of the unsteady rotating forces to ensure an accurate force reconstruction in real-time, using a smaller number of input signals compared to more conventional inverse methods. Different properties of the proposed method are initially investigated by using synthetic acoustic signals radiated from rotating point sources and computed via an acoustic analogy formulation. Finally, the method is validated by using experimental acoustic signals radiated from the rotor of an unmanned aerial vehicle.

Files

1_s2.0_S0888327023005046_main.... (pdf)
(pdf | 6.58 Mb)
- Embargo expired in 17-01-2024
License info not available