Power System Fault Diagnosis Based on Wavelet Transform and Neural Networks

Abstract:

Using the principle of wavelet transform in the aspect of signal singularity detection analyzes and detects the electric power system fault signal. Then we extract signal feature near the fault moment and sent the feature vectors into the neural network. The simulation results fully prove the effectiveness and superiority of combining wavelet transform and neural network in electric power system fault recognition.

• Periodical: Applied Mechanics and Materials (Volume 705)
• Pages: 255-258
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.705.255
• Online since: December 2014
• Authors: Jun Liu, Lin Li*, Qing Tao Long
• Keywords: Fault Recognition, Neural Network, Power System, Wavelet Transform (WT)

References

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