Abstract：Wavelet footprint is proposed for noise suppression aimed at the big interference during partial discharge detection of power transformers. Cycle-spanning method is used for denoising and enhancement. Wavelet footprints based on wavelet transform represent the original partial discharge signal characteristics with footprint sets, removing the dependence of wavelet coefficients across scales. Wavelet footprints can better retain the signal characteristics. Cycle-spanning method eliminates the translation dependence. The denoised signal can effectively approximate the real partial discharge signal. Simulation and field data demonstrates that, wavelet footprints method based on translation-invariant can reduce the noise interference and extract effective partial discharge signals, with better effect than traditional wavelet method.
尚海昆, 苑津莎, 王瑜, 靳松. 平移不变小波迹消噪方法在局部放电检测中的应用[J]. 电工技术学报, 2013, 28(10): 33-40.
Shang Haikun, Yuan Jinsha, Wang Yu, Jin Song. Application of Wavelet Footprints Based on Translation-Invariant in of Partial Discharge Signal Detection. Transactions of China Electrotechnical Society, 2013, 28(10): 33-40.
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