Eliminating wind noise contamination of wind turbine noise amplitude modulation ratings - first validation

von Hünerbein, S ORCID: https://orcid.org/0000-0003-1796-7173, Kendrick, P ORCID: https://orcid.org/0000-0002-0714-183X, Kerscher, M and Bradley, S 2017, Eliminating wind noise contamination of wind turbine noise amplitude modulation ratings - first validation , in: The 24th International Congress on Sound and Vibration (ICSV24), 23-27 July 2017, London, UK.

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Abstract

Microphone wind noise can corrupt outdoor measurements and recordings. It is a particular problem for wind turbine measurements because these cannot be carried out when the wind speed is low. Previous studies simulated the effect that microphone wind noise has on the accuracy of a proposed Amplitude Modulation (AM) metric and found that even relatively low wind speeds of 2.5 m/s errors of over 4 dBA can result. It has also been shown that a wind noise detection algorithm can automatically find uncorrupted sections of the recording, and so recover the true AM metrics. This paper shows first results on validating the simulation approach by applying the automatic detection to recordings from pairs of microphones mounted on an acoustic camera array in combination with the results from the AM rating method suggested by the Institute of Acoustics Amplitude Modulation Working Group.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Proceedings of the 24th International Congress on Sound and Vibration (ICSV24)
Publisher: The International Institute of Acoustics and Vibration (IIAV); Curran Associates, Inc.
ISBN: 9781510845855
Depositing User: Dr Sabine von Hünerbein
Date Deposited: 15 Feb 2019 15:26
Last Modified: 29 Nov 2019 11:15
URI: http://usir.salford.ac.uk/id/eprint/50093

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