Prediction and location system of three-phasecable fault based on neural network
Mei Wang · Journal of Xi'an University of Science and Technology · 2004
To implement accurate location of three-phase cable fault, a complex nonlinear system is designed with BP neural network technique, in which a mathematical model between the input signals and fault distance is constructed with an improved BP algorithm that is the L-M data-optimized method. Consequently, the prediction and location function of short circuit fault or grounded fault of three-phase cable are implemented. It is indicated by the simulation that the prediction error of fault distance is in the specified range, and the precision of prediction is reliable.