Fault Location of Underground Cable Based on Genetic Algorithm Optimized Wavelet Neural Network
Abstract：According to the problems that difficult to position when single phase grounding fault happens at underground coal mine power cable and the low reliability and low distance measuring precious for existing distance measuring method,the genetic algorithm optimized wavelet neural network based on transient electric valve after fault is proposed,which realizes the method of underground coal mine cable single phase grounding fault distance measuring.Through different transition resistance,fault distance situation＇s simulation results show that the wavelet neural network based on genetic algorithm optimization can obtain accurate fault location results,and compared with the fault location methods using wavelet neural network based on BP algorithm,it performs better on location precision and convergence time.
Keywords：fault distance measuringwavelet neural networkgenetic algorithm
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 62-68 )