A Novel Short-Range Prediction Model for Railway Track Irregularity
Joint Authors
Xu, Peng
Wang, Futian
Sun, Quanxin
Liu, Rengkui
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In recent years, with axle loads, train loads, transport volume, and travel speed constantly increasing and railway network steadily lengthening, shortcomings of current maintenance strategies are getting to be noticed from an economical and safety perspective.
To overcome the shortcomings, permanent-of-way departments throughout the world have given a considerable attention to an ideal maintenance strategy which is to carry out appropriate maintenances just in time on track locations really requiring maintenance.
This strategy is simplified as the condition-based maintenance (CBM) which has attracted attentions of engineers of many industries in the recent 70 years.
To implement CBM for track irregularity, there are many issues which need to be addressed.
One of them focuses on predicting track irregularity of each day in a future short period.
In this paper, based on track irregularity evolution characteristics, a Short-Range Prediction Model was developed to this aim and is abbreviated to TI-SRPM.
Performance analysis results for TI-SRPM illustrate that track irregularity amplitude predictions on sampling points by TI-SRPM are very close to their measurements by Track Geometry Car.
American Psychological Association (APA)
Xu, Peng& Liu, Rengkui& Sun, Quanxin& Wang, Futian. 2012. A Novel Short-Range Prediction Model for Railway Track Irregularity. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-483334
Modern Language Association (MLA)
Xu, Peng…[et al.]. A Novel Short-Range Prediction Model for Railway Track Irregularity. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-483334
American Medical Association (AMA)
Xu, Peng& Liu, Rengkui& Sun, Quanxin& Wang, Futian. A Novel Short-Range Prediction Model for Railway Track Irregularity. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-483334
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483334