Title :
Algorithm of Speed-Up Turnout Indication Circuit Fault Intelligent Diagnosis
Author :
Kai Zhang;Jingni Song;Yongfeng Ju
Author_Institution :
Dept. of Electron. &
Abstract :
Since the railway Communication and Signal Department have no effective means of automatic fault diagnosis for the speed-up turnout indication circuit, this paper summarized typical values and the cause of the malfunction by the test when the speed-up turnout indication circuit was open circuit fault, then used the BP neural network algorithm to train and test the feature vectors and mapping sample set representing the open circuit fault. Experimental results show that the fault diagnosis algorithm of the speed-up turnout indication circuit has characteristics of high accuracy, good effect, can effectively compress the such a fault delay.
Keywords :
"Circuit faults","Fault diagnosis","Rail transportation","Switching circuits","Monitoring","Neural networks","Computers"
Conference_Titel :
Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
Print_ISBN :
978-1-4673-9586-1
DOI :
10.1109/ISCID.2015.53