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Power transformer is an important equipment in power system, and its operation status has an important impact on the safe and stable operation of power system. However, most of the existing methods are off-line detection, which can not meet the requirements of engineering practice. Therefore, how to monitor and analyze the operation status of transformer based on the on-line measured vibration signal has become a research hotspot in this field. Therefore, this paper introduces a wavelet packet transform and local mean decomposition (LMD) decomposition method based on EMD. In this method, wavelet packet transform is used to denoise the vibration signal of transformer winding, and then it is adaptively decomposed into a series of product function (PF) components by LMD, so as to reveal the signal characteristics and realize on-line monitoring and analysis of transformer winding. Finally, the feasibility and effectiveness of the analysis method in this paper is verified by combining theory with simulation.

Research on Vibration Signal Analysis Method of Transformer Winding Based on Wavelet Packet Transform and LMD Algorithm