Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization
Joint Authors
Hu, Fei
Dong, Decun
Yu, Rongjie
Huang, Shize
Zhang, Fan
Chen, Wei
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Turnout is one key fundamental infrastructure in the railway signal system, which has great influence on the safety of railway systems.
Currently, turnout fault diagnoses are conducted manually in China; engineers are obliged to observe the signals and make problem solving decisions.
Thus, the accuracies of fault diagnoses totally depend on the engineers’ experience although massive data are produced in real time by the turnout microcomputer-based monitoring systems.
This paper aims to develop an intelligent diagnosis method for railway turnout through Dynamic Time Warping (DTW).
We firstly extract the features of normal turnout operation current curve and normalize the collected turnout current curves.
Then, five typical fault reference curves are ascertained through the microcomputer-based monitoring system, and DTW is used to identify the turnout current curve fault through test data.
The analysis results based on the similarity data indicate that the analyzed five turnout fault types can be diagnosed automatically with 100% accuracy.
Finally, the benefits of the proposed method and future research directions were discussed.
American Psychological Association (APA)
Huang, Shize& Zhang, Fan& Yu, Rongjie& Chen, Wei& Hu, Fei& Dong, Decun. 2017. Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170643
Modern Language Association (MLA)
Huang, Shize…[et al.]. Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization. Journal of Advanced Transportation No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1170643
American Medical Association (AMA)
Huang, Shize& Zhang, Fan& Yu, Rongjie& Chen, Wei& Hu, Fei& Dong, Decun. Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170643