Wavelet de-noising of power quality signal based on non-uniform subband decomposition
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TN911. 7

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    Abstract:

    In order to solve the problem of denoising power signals with a wide spectrum range, an adaptive wavelet packet de-noising algorithm based on the decider of power spectrum characteristics was proposed to dynamically adjust the number and bandwidth of subband, reasonably preserve the effective high-frequency components of the signal. The main feature of this method is to achieve nonuniform decomposition by using power spectrum amplitude segmentation. The coefficient selection of wavelet packet de-noising is optimized, which improves the adaptability of the denoising algorithm. This method was used to denoise the power signals of the multielectric aircraft ATRU test platform, and the utility of adaptive non-uniform subband decomposition was achieved. Experimental results show that the algorithm can effectively retain 89. 21% high-frequency details of the signal and obtain a better denoising effect.

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  • Online: March 06,2023
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