论文信息 - A fast and accurate distance relaying scheme using an efficient radial basis function neural network - 字舞流文

A fast and accurate distance relaying scheme using an efficient radial basis function neural network

Ganapati Panda | Ashok Kumar Pradhan | Pradipta Kishore Dash | G. Panda | P. Dash | A. Pradhan

[1] Paramasivan Saratchandran,et al. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm , 1998, IEEE Trans. Neural Networks.

[2] Denis V. Coury,et al. Artificial neural network approach to distance protection of transmission lines , 1998 .

[3] M. Akke,et al. Some improvements in the three-phase differential equation algorithm for fast transmission line protection , 1998 .

[4] A. T. Johns,et al. PROTECTION SCHEME FOR EHV TRANSMISSION SYSTEMS WITH THYRISTOR CONTROLLED SERIES COMPENSATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS , 1997 .

[5] Stelios C. A. Thomopoulos,et al. Nonlinear filtering methods for harmonic retrieval and model order selection in Gaussian and non-Gaussian noise , 1997, IEEE Trans. Signal Process..

[6] A. T. Johns,et al. Performance of an adaptive protection scheme for series compensated EHV transmission systems using neural networks , 1996 .

[7] B. Kulicke,et al. Neural network approach to fault classification for high speed protective relaying , 1995 .

[8] N. R. Achuthan,et al. Applying pattern recognition in distance relaying. Part 2 : Feasibility , 1992 .

[9] N. R. Achuthan,et al. Applying pattern recognition in distance relaying. Part 1: Concept , 1992 .