Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Branko Zajamsek"'
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 39 (2020)
Survey results have shown that many respondents report to be annoyed by vibration, which they attribute to a wind farm. The aim of this work is to explore wind turbine vibration characteristics and evaluate its effects on humans. The vibration was me
Externí odkaz:
https://doaj.org/article/a1eb16abfb8e47c0b8f71d60c14dcc6d
Autor:
Bastien Lechat, Robert J. Adams, Gorica Micic, Peter Catcheside, Yohannes Adama Melaku, Danny J. Eckert, Branko Zajamsek, Kristy Hansen, Sarah Appleton, Andrew Vakulin
Publikováno v:
Annals of the American Thoracic Society. 19:649-658
RATIONALE Conventional markers of sleep disturbance, based on manual electroencephalography scoring, may not adequately capture important features of more fundamental electroencephalography-related sleep disturbance. OBJECTIVES This study aimed to de
Autor:
Branko Zajamsek, Kristy Hansen, Bastien Lechat, Tessa Liebich, Claire Dunbar, Gorica Micic, Peter Catcheside
Publikováno v:
The Journal of the Acoustical Society of America. 152(6)
This study tested for differences in perceived annoyance and loudness between road traffic noise (RTN) and wind farm noise (WFN) with amplitude modulation (AM) and tonality. Twenty-two participants, who were primarily university students with no prev
Publikováno v:
JASA express letters. 1(6)
This paper presents a combined experimental and numerical study that characterises the directivity of blade-tower interaction (BTI) noise. Numerical computations were performed using a hybrid approach combining unsteady Reynolds-averaged Navier-Stoke
Publikováno v:
JASA express letters. 2(5)
This study proposes an approach for the characterisation and assessment of wind farm noise (WFN), which is based on extraction of acoustic features between 125 and 7500 Hz from a pretrained deep learning model (referred to as deep acoustic features).
Publikováno v:
Applied Acoustics. 205:109276
One of the major sources of uncertainty in predictions of wind farm noise (WFN) reflect parametric and model structure uncertainty. The model structure uncertainty is a systematic uncertainty, which relates to uncertainty about the appropriate mathem
Autor:
Branko Zajamsek, Kristy L. Hansen, Phuc Duc Nguyen, Bastien Lechat, Gorica Micic, Peter Catcheside
Publikováno v:
Applied Acoustics. 205:109234
Publikováno v:
Applied Acoustics. 155:97-110
In the measurement of wind farm noise, it is standard practice to mount outdoor microphones at a height of 1.5 m. On the other hand, measurements at this height can be affected by wind-induced noise, which has the potential to mask the noise of inter
Autor:
Bastien Lechat, Hannah Scott, Felix Decup, Kristy L Hansen, Gorica Micic, Claire Dunbar, Tessa Liebich, Peter Catcheside, Branko Zajamsek
Publikováno v:
Sleep. 45
Study Objectives This study was designed to test the utility of cardiovascular responses as markers of potentially different environmental noise disruption effects of wind farm compared to traffic noise exposure during sleep. Methods Twenty participa
Autor:
Phuc D. Nguyen, Kristy L. Hansen, Bastien Lechat, Colin Hansen, Peter Catcheside, Branko Zajamsek
Publikováno v:
Applied Acoustics. 201:109106