Open AccessA Novel Method to Restrain Ambient Noise Interference in Transformer Noise Test
Author(s) -
Xiaowen Wu,
Gang Li,
Hao Cao,
Lixin Lu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/692/3/032081
Subject(s) - wavelet packet decomposition , wavelet , noise (video) , computer science , transformer , preprocessor , electronic engineering , acoustics , algorithm , speech recognition , wavelet transform , engineering , artificial intelligence , electrical engineering , physics , voltage , image (mathematics)
A preprocessing method based on wavelet packet decomposition and spectral subtraction algorithm is proposed in this paper. The tested original noise signal is decomposed with the wavelet packet analysis. It is divided into several bands with different frequency range. In these bands, the noisy signals are further processed by spectral subtraction method. The theoretical analysis result shows that the proposed method is effective in restraining the influence of surrounding noises on the result of transformer noise measurement. The proposed method can be referenced for the noise measurement of power transmission and transformation projects.