Railroad Track Deterioration Characteristics Based Track Measurement Data Mining
Joint Authors
Xu, Peng
Wang, Futian
Sun, Quanxin
Liu, Rengkui
Wang, Feng
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Accurate information on future railroad track condition is essential to optimally schedule track Maintenance & Renewal activities in order to minimize influences of the activities on rail traffic under constraints of limited budgets and maintaining allowable condition tracks.
In this paper, a track measurement data mining method is presented to this aim.
It is developed on the basis of track deterioration characteristics.
Actual track measurement data is used to analyze errors in track condition predictions by the method.
The analysis results show that the proposed method can mine accurate track deterioration rates from historical track measurement data and thus accurately provides future track condition two or three months in advance.
American Psychological Association (APA)
Xu, Peng& Liu, Rengkui& Wang, Feng& Wang, Futian& Sun, Quanxin. 2013. Railroad Track Deterioration Characteristics Based Track Measurement Data Mining. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032506
Modern Language Association (MLA)
Xu, Peng…[et al.]. Railroad Track Deterioration Characteristics Based Track Measurement Data Mining. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032506
American Medical Association (AMA)
Xu, Peng& Liu, Rengkui& Wang, Feng& Wang, Futian& Sun, Quanxin. Railroad Track Deterioration Characteristics Based Track Measurement Data Mining. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032506