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

题名：	Algorithm of Speed-up Turnout Fault Intelligent Diagnosis Based on BP Neural Network
正文语种：	中文
作者：	Kai Zhang Yongfeng Ju Kai u Xu ao
作者单位：	epartment of Electronic and ontrol Engineering, hang'an University, Xi'an 710064, hina Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huai'an, 223003, hina
关键词：	speed-up turnout fault diagnosis action current curve neural network
摘要：	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.
会议日期：	201511
会议举办地点：	成都
会议名称：	2015第二届智能交通国际会议
出版日期：	2015-10-31
母体文献：	2015第二届智能交通国际会议论文集