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This paper attempts to develop a backpropagation neural network algorithm for fault detection and location in overhead transmission lines and high-speed protection system using terminal data. The suggested neural FL is trained using various available sets of data from a selected power system model and simulating distinct fault scenarios (fault location and fault types) and various power system data...