scholarly journals Fibre Optic Sensing as Innovative Tool for Evaluating Railway Track Condition?

2019 ◽  
Author(s):  
I. Vidovic ◽  
M. Landgraf
Keyword(s):  
Railway Track ◽  
Fibre Optic ◽  
Track Condition ◽  
Innovative Tool

scholarly journals Railway Track Condition Assessment at Network Level by Frequency Domain Analysis of GPR Data

2018 ◽  
Vol 10 (4) ◽  
pp. 559 ◽  
Author(s):  
Simona Fontul ◽  
André Paixão ◽  
Mercedes Solla ◽  
Lara Pajewski
Keyword(s):  
Frequency Domain ◽  
Domain Analysis ◽  
Condition Assessment ◽  
Frequency Domain Analysis ◽  
Railway Track ◽  
Track Condition

Railway track condition indicators from ground penetrating radar

2003 ◽  
Vol 36 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Theodore R. Sussmann ◽  
Ernest T. Selig ◽  
James P. Hyslip
Keyword(s):  
Ground Penetrating Radar ◽  
Railway Track ◽  
Condition Indicators ◽  
Track Condition ◽  
Ground Penetrating

scholarly journals An adaptive opportunistic maintenance model based on railway track condition prediction

2016 ◽  
Vol 49 (28) ◽  
pp. 120-125 ◽  
Author(s):  
Christophe Letot ◽  
Iman Soleimanmeigouni ◽  
Alireza Ahmadi ◽  
Pierre Dehombreux
Keyword(s):  
Railway Track ◽  
Opportunistic Maintenance ◽  
Model Based ◽  
Track Condition ◽  
Maintenance Model

A Novel Algorithm for Predicting Track Irregularities of Unit Track Sections

2010 ◽  
Author(s):  
R. K. Liu ◽  
P. Xu ◽  
Q. X. Sun
Keyword(s):  
Short Range ◽  
Computer Software ◽  
Railway Track ◽  
Railway Transportation ◽  
Waveform Data ◽  
Track Geometry ◽  
Short Period ◽  
Track Condition ◽  
Inspection And Maintenance ◽  
Track Irregularities

During train runs, the interaction between train wheels and the rail track underneath makes track geometry change, which in turn results in all kinds of track irregularities. After the 6th train speed raise of China in 2007, railway transportation has shown three main new features: speed-raised, heavy-loading and high-density. Under these features, changes in railway track irregularities of China have also presented some new characteristics: higher deterioration rates of track irregularities and more frequent occurrences of track exceptions. To ensure the train operational safety and increase the transportation service quality, the preventive inspection and maintenance of railway track facilities have been put forward once again by railway maintenance departments of China. A precondition for the preventive inspection and maintenance is about how to accurately evaluate and predict the future track condition according to the historical track inspection data. In this paper, based on the characteristics of track irregularity changes and in accordance with the calculus thinking, we have developed a short-range prediction model called SRPM. The model uses track waveform data generated by the track geometry car (TGC) to predict track irregularities of a unit track section with the length of 100m for each day in a future short period of time. An algorithm for using SRPM to predict track irregularities has also been designed. According to the designed algorithm, using ORACLE database and computer program languages, we have programmed a computer software named P-SRPM. We then used P-SRPM to deal with 25 sets of TGC-generated track waveform data from the up going track of the Beijing-Shanghai railway (Jing-Hu railway) administrated by Jinan Railway Bureau (JRB) and predicted track irregularities of unit sections in the railway track segment. Finally, errors in these predictions were analyzed in both temporal and spatial dimensions. From the error analysis results, we come to the conclusion that SRPM can fairly accurately make short-range predictions for track irregularities of each unit section in the JRB-administrated Jing-Hu railway track (up going).

scholarly journals Investigation of Dynamic Factor, Rail Stress and Track Foundation Modulus of Ballasted Railway Track for Different Bed Conditions Using Numerical Methods

2021 ◽  
Vol 1200 (1) ◽  
pp. 012018
Author(s):  
Shanmugasekar Thenappan
Keyword(s):  
Fatigue Strength ◽  
Numerical Methods ◽  
High Speed ◽  
Test Method ◽  
Railway Track ◽  
Design Parameters ◽  
Dynamic Factor ◽  
Bending Stress ◽  
Track Condition ◽  
Track Stiffness

Abstract The track stiffness is the primary function of roadbeds thickness and subgrade characteristics. For this purpose, numerical scale track finite element technique representing the ballasted track with multi layered substructure founded on subgrade was simulated. The track deflection, stress was abstracted in static and dynamic conditions. The track significant design parameters: Foundation modulus, rail fatigue strength, rail bending stress and stress on subgrade levels were evaluated by using improved current track design numerical methods and compared against field test results which were carried out on part of MG Double track high speed main line (1600 km). Mathematical equations were developed to correlate the variables; ballast thickness, settlement, track stiffness, rail bending stress and rail fatigue strength on varying subgrade soil modulus. Incorporation of this parametric study will improve and optimise the conventional track design and maintenance standard. A simple improved track design was introduced by using single track stiffness parameter from conventional plate bearing test (PBT) on Force Displacement (FD) conventional curve method. The improved method with deriving equivalent track stiffness from rail pad and track substructure tested C value are accurate and simple. The current test method to determine the track stiffness in live track condition is expensive and unsafe with operational requirements. This PBT is simple, cost saving on labour, safe and without applying live train load.

Development of Specialized IoT Cloud Platform for Railway Track Condition Monitoring

2021 ◽  
Author(s):  
Tarique Rafique Memon ◽  
Tayab Din Memon ◽  
Bhawani Shankar Chowdhry ◽  
Imtiaz H. Kalwar ◽  
Khakoo Mal
Keyword(s):  
Condition Monitoring ◽  
Railway Track ◽  
Cloud Platform ◽  
Track Condition

scholarly journals Condition monitoring of railway track systems by using acceleration signals on wheelset axle-boxes

Transport ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 555-566 ◽  
Author(s):  
Andrzej Chudzikiewicz ◽  
Roman Bogacz ◽  
Mariusz Kostrzewski ◽  
Robert Konowrocki
Keyword(s):  
Service Use ◽  
Preliminary Investigation ◽  
Measurement Data ◽  
Cost Effective ◽  
Railway Track ◽  
Track Condition ◽  
Preliminary Preparation ◽  
Multiple Unit ◽  
Acceleration Signals ◽  
Track Quality

The aim of this paper is to demonstrate the possibilities of estimating the track condition using axle-boxes and car-bodies motions described by acceleration signals. In the paper, the results presented indicate the condition of tracks obtained from the preliminary investigation on the test track. Furthermore, the results from the supervised runs (on Polish Railway Lines) of Electric Multiple Unit (EMU-ED74) with the prototype of track quality monitoring system installed on-board are described. As Track Quality Indicator (TQI) algorithm, used in the mentioned prototype, a modified Karhunen–Loève transformation is used in preliminary preparation of acceleration signals. The transformation is used to extract the principal dynamics from measurement data. Obtained results are compared to other methods of evaluating the geometrical track quality, namely methods, which apply the synthetic coefficient Jsynth and five parameters of defectiveness W5. The results from the investigation showed that track condition estimation is possible with acceptable accuracy for in-service use and for defining cost-effective maintenance strategies.

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