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ICA feature extraction for the location and classification of faults in high-voltage transmission lines
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Principal Component Analysis
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Adaptive Blind Signal and Image Processing
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Principal Component Analysis
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The Support Vector Method of Function Estimation
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Fault Location on Power Networks
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Support Vector Machines for classification and locating faults on transmission lines
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A systematic fuzzy rule based approach for fault classification in transmission lines
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Generalized neural network and wavelet transform based approach for fault location estimation of a transmission line
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Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression
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Ultra-high-speed protection of transmission lines using traveling wave theory
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A survey on intelligent system application to fault diagnosis in electric power system transmission lines
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Automated double-ended traveling wave record correlation for transmission line disturbance analysis
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Energy and entropy-based feature extraction for locating fault on transmission lines by using neural network and wavelet packet decomposition
inferredcites →https://doi.org/10.1016/j.ijepes.2011.08.020openalex-snapshot
A combined impedance and traveling wave based fault location method for multi-terminal transmission lines
inferredcites →https://doi.org/10.1016/j.neucom.2010.02.001openalex-snapshot
Intelligent approaches using support vector machine and extreme learning machine for transmission line protection
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Adaptive Interpolation of Multidimensional Scaling
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Use of time delays between modal components in wavelet based fault location
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Independent Component Analysis
inferredcites →https://doi.org/10.1109/tpas.1982.317332openalex-snapshot
Accurate Modelling of Frequency-Dependent Transmission Lines in Electromagnetic Transient Simulations
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A Novel Traveling-Wave Directional Relay Based on Apparent Surge Impedance
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Modern Multidimensional Scaling: Theory and Applications
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Diabetes classification using a redundancy reduction preprocessor
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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