A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets in Image Communication
Wavelets in Image Communication
A new metric for measuring metamodels quality-of-fit for deterministic simulations
Proceedings of the 38th conference on Winter simulation
Entropy-based algorithms for best basis selection
IEEE Transactions on Information Theory - Part 2
Analysis and Evaluation of a New Algorithm Based Fault Tolerance for Computing Systems
International Journal of Grid and High Performance Computing
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In this paper, a transmission line fault location model which is based on an Elman recurrent network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with different inception times are implemented on a 380-kV prototype power system. Wavelet transform (WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the fault location occurred on transmission line rapidly and correctly as an important alternative to standard feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks.