Algorithm of speed-up turnout fault intelligent diagnosis based on BP neural network

Abstract

Based on analysis of action current curves change law when the speed-up turnout is normal and fault, this paper summarized the current curve eigenvalues, proposed the turnout fault intelligent self-diagnostic algorithms based on change characteristics of the turnout action current curve. Then mapping sample set between action current curve eigenvalues and turnout fault types, and using BP neural network to establish speed-up turnout fault intelligent diagnosis algorithm. The results show that: the fault diagnosis algorithm of the speed-up turnout is high precision and adaptability.