An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network

Author:

Zhu Ling,Liu Zhigang,Zhang Qiaoge,Hu Qiaolin

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Wang, G.-B., Xiang, D.-Y., Ma, W.-M.: Improved Algorithm for Noninteger Harmonics Analysis Based on FFT Algorithm and Neural Network. Proceedings of the CSEE 28(4), 102–108 (2008)

2. Lin, S., He, Z., Luo, G.: A wavelet energy moment based classification and recognition method of transient signals in power transmission lines. Power System Technology 32(20), 30–34 (2008)

3. Li, T., Zhao, Y., Li, N., et al.: A new method for power quality detection based on HHT. Proceedings of the CSEE 25(17), 52–56 (2005)

4. Bulus-Rossinia, L.A., Costanzo-Casoa, P.A., Duchowicza, R., et al.: Optical pulse compression using the temporal Radon–Wigner transform. Optics Communications 283, 2529–2535 (2010)

5. Yi, J.-L., Peng, J.-C., Tan, H.-S.: A summary of S-transform applied to power quality disturbances analysis. Power System Protection and Control 39(3), 141–147 (2011)

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