Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Sound pressure level calculation methodology investigation of corona noise in AC substations

Authors
Xiaowen Wu, Nianguang Zhou, Chunming Pei, Sheng Hu, Tao Huang
Corresponding Author
Xiaowen Wu
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.14How to use a DOI?
Keywords
corona noise; AC substations; comb filter; spectral subtraction.
Abstract
In order to improve the measurement accuracy of corona noise in AC substations, the characteristics of different noise sources are measured and analyzed. Wavelet analysis method is employed to decompose the original noisy corona signal. A stop-band comb filter is designed to process the reconstructed approximate coefficient of the decomposed corona noise. The influence of transformer and reactor noises on that of the corona in the substation is eliminated. The speech enhancement technique based on spectral subtraction method is used to extract the pure corona noise form the filtered signal in which the cooling-device noise in included. The proposed method is applied to process field corona noise in a UHV substation. The 1/3-Octave spectrum and the A-weighted sound pressure level of the purified corona noise are calculated.
Open Access
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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.14How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaowen Wu
AU  - Nianguang Zhou
AU  - Chunming Pei
AU  - Sheng Hu
AU  - Tao Huang
PY  - 2016/11
DA  - 2016/11
TI  - Sound pressure level calculation methodology investigation of corona noise in AC substations
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.14
DO  - https://doi.org/10.2991/aest-16.2016.14
ID  - Wu2016/11
ER  -