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- Title
A Novel Short-Range Prediction Model for Railway Track Irregularity.
- Authors
Peng Xu; Rengkui Liu; Quanxin Sun; Futian Wang
- Abstract
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.
- Subjects
AXIAL loads; MATHEMATICAL models; MATHEMATICAL models of strains &; stresses; SPEED of railroad trains; RAILROAD train maintenance &; repair; RAILROAD track maintenance &; repair
- Publication
Discrete Dynamics in Nature & Society, 2012, p1
- ISSN
1026-0226
- Publication type
Article
- DOI
10.1155/2012/591490