| Autor: |
Xu, Yanchun, Xia, Haiting, Tan, Chao, Li, Zhenhua, Mi, Lu |
| Předmět: |
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| Zdroj: |
Fluctuation & Noise Letters; Jun2020, Vol. 19 Issue 2, pN.PAG-N.PAG, 21p |
| Abstrakt: |
Traditional time-frequency methods for partial discharge (PD) de-noising have some limitations such as low time-frequency resolution, single de-noising type and poor readability. In this paper, a novel de-noising algorithm based on synchro-squeezed continuous wavelet transform (CWT) is adopted to filter out narrowband noise and white noise. The synchro-squeezed CWT algorithm is designed to redistribute the time-frequency domain and to distinguish the signal from the noise carefully as a high-rate time-frequency analysis. High-order statistics is employed to pre-process the polluted PD signal. The generalized cross-validation (GCV) threshold is combined with the adaptive trimmed threshold of synchro-squeezing (SS) domain to deal with the subsequent signals. The proposed algorithm can effectively suppress two kinds of noise, and the signal distortion is lower. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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