Study of a new method for power system transients classification based on wavelet entropy and neural network

Author:

Zhengyou He,Shibin Gao,Xiaoqin Chen,Jun Zhang,Zhiqian Bo,Qingquan Qian

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference21 articles.

1. Lyonnette DRM, Bo ZQ, Weller G, Jiang F. A new directional relay for the protection of EHV transmission lines based on the detection of transient voltage signals. In: IEEE power engineering society winter meeting; 2000. p.1827–31.

2. Wavelet-based signal processing for disturbance classification and measurement;Gaouda;IEE Pro-Gener Trans Distrib,2002

3. Hanninen S, Lehtonen M. Earth fault distance computation with artificial neural network trained by neutral voltage transients. In: IEEE power engineering society summer meeting; 2001. p.1187–92.

4. Othman MF, Mahfouf M, Linkens DA. Transmission lines fault detection, classification and location using an intelligent power system stabilizer. In: IEEE international conference on electric utility deregulation, restructuring and power technologies; 2004. p. 360–5.

5. Harish Kashyap K, Jayachandra Shenoy U. Classification of power system faults using wavelet transforms and probabilistic neural networks. In: IEEE; 2003. p. 423–6.

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