论文信息 - A Partial Discharge Fault Identification Algorithm based on SGWT Neural Network

A Partial Discharge Fault Identification Algorithm based on SGWT Neural Network

Based on the second generation wavelet and information entropy, in this paper, we recognize the partial discharge pattern using the second generation wavelet (SGWT) and adaptive BP. Firstly, feature extraction of discharge signals are obtained using the SGWT and information entropy. Then, the extracted features are feed into the training BP network. The learning algorithm employed the conjugate gradient methods and the adaptive adjustment to train the error for BP network. Finally, we get the optimum training network, and the simulation results verified the feasibility of the algorithm.

Wei Zhang | Yurong Deng | Qiuli Wu

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