The issues reported in this article concern the development of methods applied for measurement, processing, and analysis of infrasound signals generated in association with the operation of wind farms. In particular, the discussion involves the results of the analysis using synchrosqueezed wavelet transforms of infrasound noise emitted by a 2 MW wind turbine that have been recorded during its operation in actual conditions. To record infrasound signals, a wireless measurement system was used, consisting of a base station and three synchronized mobile recording stations. To identify the wavelet structures with the highest ratio of energy, the synchrosqueezed wavelet transforms were used, and the courses of six time runs representing instantaneous frequencies were determined. Application of this approach enables the selection of energy-dominant waveforms from the time-frequency images, whose assessment can be performed mainly in terms of qualitative measures. Application of the synchrosqueezed wavelet transform is an effective tool for the purposes of detection and selection in the designated wavelet structures for the recorded infrasound dominant frequencies for which the carried energy ranges have the highest value.
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November 2022
November 10 2022
Application of wavelet synchrosqueezed transforms to the analysis of infrasound signals generated by wind turbines Available to Purchase
Tomasz Boczar
;
Tomasz Boczar
Faculty of Electrical Engineering, Automatic Control, and Informatics, Opole University of Technology
, 45-758 Opole, Poland
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Dariusz Zmarzły
;
Dariusz Zmarzły
Faculty of Electrical Engineering, Automatic Control, and Informatics, Opole University of Technology
, 45-758 Opole, Poland
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Michał Kozioł
;
Michał Kozioł
a)
Faculty of Electrical Engineering, Automatic Control, and Informatics, Opole University of Technology
, 45-758 Opole, Poland
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Daria Wotzka
Daria Wotzka
Faculty of Electrical Engineering, Automatic Control, and Informatics, Opole University of Technology
, 45-758 Opole, Poland
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Tomasz Boczar
Dariusz Zmarzły
Michał Kozioł
a)
Daria Wotzka
Faculty of Electrical Engineering, Automatic Control, and Informatics, Opole University of Technology
, 45-758 Opole, Poland
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 152, 2863–2879 (2022)
Article history
Received:
June 08 2022
Accepted:
October 25 2022
Citation
Tomasz Boczar, Dariusz Zmarzły, Michał Kozioł, Daria Wotzka; Application of wavelet synchrosqueezed transforms to the analysis of infrasound signals generated by wind turbines. J. Acoust. Soc. Am. 1 November 2022; 152 (5): 2863–2879. https://doi.org/10.1121/10.0015141
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