Wind Watch is a registered educational charity, founded in 2005. |
Benchmark characterisation and automated detection of wind farm noise amplitude modulation
Author: | Noise
Translate: FROM English | TO English
Translate: FROM English | TO English
[Abstract] Amplitude modulation (AM) is a characteristic feature of wind farm noise and has the potential to contribute to annoyance and sleep disturbance. Detection, quantification and characterisation of AM is relevant for regulatory bodies that seek to reduce adverse impacts of wind farm noise and for researchers and wind farm developers that aim to understand and account for this phenomenon. We here present an approach to detect and characterise AM in a comprehensive and long-term wind farm noise data set using human scoring. We established benchmark AM characteristics, which are important for validation and calibration of results obtained using automated methods. We further proposed an advanced AM detection method, which has a predictive power close to the practical limit set by human scoring. Human-based approaches should be considered as benchmark methods for characterising and detecting unique noise features.
Phuc D. Nguyen, Kristy L. Hansen, Bastien Lechat, College of Science and Engineering, Flinders University, Australia
Peter Catcheside, Branko Zajamsek, Adelaide Institute for Sleep Health, Flinders University
Colin H. Hansen, School of Mechanical Engineering, University of Adelaide
Applied Acoustics, Volume 183, 1 December 2021, 108286
doi: 10.1016/j.apacoust.2021.108286
Download original document: “Benchmark characterisation and automated detection of wind farm noise amplitude modulation”
This material is the work of the author(s) indicated. Any opinions expressed in it are not necessarily those of National Wind Watch.
The copyright of this material resides with the author(s). As part of its noncommercial educational effort to present the environmental, social, scientific, and economic issues of large-scale wind power development to a global audience seeking such information, National Wind Watch endeavors to observe “fair use” as provided for in section 107 of U.S. Copyright Law and similar “fair dealing” provisions of the copyright laws of other nations. Queries e-mail.
Wind Watch relies entirely on User Contributions |
(via Stripe) |
(via Paypal) |
Share:
Tags: Wind power, Wind energy