Non-Stationary Harmonics Analysis Based on Wavelet Packet Transform and Neural Network

Abstract:

The method for analysis of stationary harmonics in power system is FFT, but it is unsuitable for non-stationary harmonics. Because of the feature that non-stationary harmonics’ frequency spectrum has a certain bandwidth and with some noise interference usually. A new method for detection, based on wavelet packet transform and neural network was presented in this paper. This method improved the traditional wavelet analysis method. The non-stationary harmonics were decomposed in different frequency bands by wavelet packet transform at first, and then complete the analysis of the non-stationary harmonic in different frequency bands. Through software simulation, the analysis results show that, the method has better accuracy, and provided an effective means for analyzing non-stationary harmonics.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 1733-1737
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.1733
• Online since: May 2014
• Authors: Wen Liang Zhao*, Hong Song, Quan Pan, Ling Tang
• Keywords: Lipschitz Exponent, Neural Network (NN), Non-Stationary Harmonics, Wavelet Packet Transform

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