A METHOD FOR TRACKING SIGNAL DETECTION OF LOW VOLTAGE LINES USING FUZZY RBF NEURAL NETWORK ALGORITHM

摘要

PURPOSE: A method for detecting a tracking signal of a low voltage line using a fuzzy RBF neural network algorithm is provided to accurately detect the tracking signal. CONSTITUTION: A low voltage distributor or load terminal inputs a current signal to a current waveform input unit. The current waveform input unit transmits a specific number of data to a feature point detector. The feature point detector calculates a feature value based on the received data and transmits the feature value to the tracking detector. A FCM(Fuzzy C means) inputs the received feature value. A cluster center and a matrix are determined through an FCM clustering algorithm. It is determined whether the tracking is generated or not.