A noise level prediction method based on electro-mechanical frequency response function for capacitors.
The capacitors in high-voltage direct-current (HVDC) converter stations radiate a lot of audible noise which can reach higher than 100 dB. The existing noise level prediction methods are not satisfying enough. In this paper, a new noise level prediction method is proposed based on a frequency respon...
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2013-01-01
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doaj-aa028c748a6c496d9c7bcb0b9c2eb5202020-11-24T21:16:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8165110.1371/journal.pone.0081651A noise level prediction method based on electro-mechanical frequency response function for capacitors.Lingyu ZhuShengchang JiQi ShenYuan LiuJinyu LiHao LiuThe capacitors in high-voltage direct-current (HVDC) converter stations radiate a lot of audible noise which can reach higher than 100 dB. The existing noise level prediction methods are not satisfying enough. In this paper, a new noise level prediction method is proposed based on a frequency response function considering both electrical and mechanical characteristics of capacitors. The electro-mechanical frequency response function (EMFRF) is defined as the frequency domain quotient of the vibration response and the squared capacitor voltage, and it is obtained from impulse current experiment. Under given excitations, the vibration response of the capacitor tank is the product of EMFRF and the square of the given capacitor voltage in frequency domain, and the radiated audible noise is calculated by structure acoustic coupling formulas. The noise level under the same excitations is also measured in laboratory, and the results are compared with the prediction. The comparison proves that the noise prediction method is effective.http://europepmc.org/articles/PMC3857221?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lingyu Zhu Shengchang Ji Qi Shen Yuan Liu Jinyu Li Hao Liu |
spellingShingle |
Lingyu Zhu Shengchang Ji Qi Shen Yuan Liu Jinyu Li Hao Liu A noise level prediction method based on electro-mechanical frequency response function for capacitors. PLoS ONE |
author_facet |
Lingyu Zhu Shengchang Ji Qi Shen Yuan Liu Jinyu Li Hao Liu |
author_sort |
Lingyu Zhu |
title |
A noise level prediction method based on electro-mechanical frequency response function for capacitors. |
title_short |
A noise level prediction method based on electro-mechanical frequency response function for capacitors. |
title_full |
A noise level prediction method based on electro-mechanical frequency response function for capacitors. |
title_fullStr |
A noise level prediction method based on electro-mechanical frequency response function for capacitors. |
title_full_unstemmed |
A noise level prediction method based on electro-mechanical frequency response function for capacitors. |
title_sort |
noise level prediction method based on electro-mechanical frequency response function for capacitors. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
The capacitors in high-voltage direct-current (HVDC) converter stations radiate a lot of audible noise which can reach higher than 100 dB. The existing noise level prediction methods are not satisfying enough. In this paper, a new noise level prediction method is proposed based on a frequency response function considering both electrical and mechanical characteristics of capacitors. The electro-mechanical frequency response function (EMFRF) is defined as the frequency domain quotient of the vibration response and the squared capacitor voltage, and it is obtained from impulse current experiment. Under given excitations, the vibration response of the capacitor tank is the product of EMFRF and the square of the given capacitor voltage in frequency domain, and the radiated audible noise is calculated by structure acoustic coupling formulas. The noise level under the same excitations is also measured in laboratory, and the results are compared with the prediction. The comparison proves that the noise prediction method is effective. |
url |
http://europepmc.org/articles/PMC3857221?pdf=render |
work_keys_str_mv |
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