Algorithm of Speed-up Turnout Fault Intelligent Diagnosis Based on BP Neural Network

• 作 者: Kai Zhang Yongfeng Ju Kai Du Xu Bao
• 机 构: Department of Electronic and Control Engineering, Chang'an University, Xi'an 710064, China
• 出 处: 2015第二届智能交通国际会议
• 发表日期: 2015年11期
• 关键词: speed-up turnout fault diagnosis action current curve neural network

　　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.