Railway Track Monitoring Using Train Measurements: An Experimental Case Study

Malekjafarian, Abdollah; O’Brien, Eugene J.; Quirke, Paraic; Bowe, Cathal

doi:10.3390/app9224859

Cited by 45 publications

(31 citation statements)

References 30 publications

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“…Thus it is essential to apply good maintenance strategies for railway networks to avoid service disruptions and ensure system security. For example, the conditions of the railway track must be regularly monitored to detect faults at an early stage before they become serious problems [50]. Mańka [51] focused on the need for risk analysis and process approaches in safety management, including a safety management system (SMS) and maintenance management system (MMS), featuring additional systems as compared to typical railway systems, such as control command and signaling, the transport process, and the maintenance and repair process.…”

Section: Related Workmentioning

confidence: 99%

“…Mańka [51] focused on the need for risk analysis and process approaches in safety management, including a safety management system (SMS) and maintenance management system (MMS), featuring additional systems as compared to typical railway systems, such as control command and signaling, the transport process, and the maintenance and repair process. In [50], the use of train running measurements for monitoring railway tracks was examined. An Irish Rail train in operation was instrumented with accelerometers and a Global Positioning System (GPS).…”

Section: Related Workmentioning

confidence: 99%

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Measurement of the Geometric Center of a Turnout for the Safety of Railway Infrastructure Using MMS and Total Station

Kampczyk

2020

Sensors

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The turnouts in railway infrastructure constitute bottlenecks, limiting the capacity of the entire railway network. Due to their design and geometry, these turnouts force speed limits. The need to ensure the proper technical condition of turnouts has prompted ongoing scientific research and the use of modern technological solutions. Until now, there have been no tests for the correct location of the geometric center of a double and outside slip turnout with the related geometric relationships. Therefore, the main objective of this research was to demonstrate the position of the geometric centre of a double slip turnout and the geometric conditions of the curves of circular diverted tracks by measuring the horizontal versines and geometric irregularities of turnouts. The application of this surveying method, with reference to obtuse crossings and arising from geometric dependencies in the double and outside slip turnout, is defined and implemented (also known as a method for checking the correct location of the geometric center of a turnout—Surveying and Monitoring of the Geometric Center of a Double and Outside Slip Turnout (SMDOST)) via the Magnetic-Measuring Square (MMS) and electronic Total Station. This method also recommends measuring the horizontal versines of the diverted tracks. This paper presents the results of field measurements using the SMDOST and MMS methods, which were applied to carry out an analysis and evaluation of the turnout geometry conditions, thereby presenting the irregularities that cause turnout deformations. The validity of the SMDOST method using MMS and Total Station was thus confirmed. The observations from the conducted research indicate that neglecting measurements of the geometry of the turnouts resulted in additional irregularities in their conditions.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Measurement of the Geometric Center of a Turnout for the Safety of Railway Infrastructure Using MMS and Total Station

Kampczyk

2020

Sensors

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“…The methodologies performed for the railway track condition monitoring which is a part of railway infrastructure condition monitoring, involve two basic types of techniques known as "drive by inspection" and "walk by inspection"[8] [9] [1]. In drive by inspection methodology, the smart instrumentations are either mounted on the track or on the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Environmentally Sustainable Wireless Track Recording Vehicle Strategy Towards Improving the Safety Standards

Chowdhry¹,

Shah²,

Shaikh³

et al. 2021

Preprint

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Transportation is an integral part of modern society as it enhances the function of mobility leading to an important measure of a society’s success. Different modes of transport are used worldwide such as cars, trucks, airplanes, and trains. As much as the other modes of transport have developed over the centuries, the use of rail transport is growing increasingly as well. Debate wise the International Energy Agency have discussed the advantages and the future of railway to be a promising one. The implementation the green technology is becoming more prominent in the marketplace. In response to the existing need of making green products that can serve the green market demands, NCRA CMS Lab MUET has developed a Track Recording Vehicle (TRV) prototype as a substitution to the prevailing Internal Combustion Engine (ICE) operated Track Recording Vehicles. As the traditional Track Recording Vehicles are just mere trains equipped with the Inertial Measurement Units (IMUs) which consume gallons of fossil fuel to operate. The developed TRV is an initiation of upcoming trend of portable instrumented TRV that operates with the rechargeable battery and is capable enough to determine track faults like squats and turn out frogs more efficiently than the existing ICE based TRVs using accelerometer module ADXL335 and logistic regression. The developed instrument was validated on an actual railway track. The result shows that the developed instrument can be used to determine the serviceability of the railway track, thus this strategy helps in improving the safety Standards.

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“…In 2019, Pakistan alone recorded over a hundred train accidents the majority of which were caused by derailment [4]. While there are many causes of these derailments, most are due to negligence in track condition monitoring [5] [6]. There is, therefore, a need for techniques that can effectively facilitate condition monitoring and hence enable the mitigation of the causes of derailment [6] [7] [8].…”

Section: Introductionmentioning

confidence: 99%

“…While there are many causes of these derailments, most are due to negligence in track condition monitoring [5] [6]. There is, therefore, a need for techniques that can effectively facilitate condition monitoring and hence enable the mitigation of the causes of derailment [6] [7] [8]. One common technique involves determining track damage using Inertial Measurement Units (IMUs) [2] [9], mounted on the surface of Track Recording Vehicles [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Shah¹,

Chowdhry²,

Memon³

et al. 2020

AETiC

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Usually, railway accidents are caused by train derailment, the mechanical failure of tracks, such as broken rails often caused by lack of railway condition monitoring. Such monitoring could identify track surface faults, such as squats, that act as a catalyst for the track to crack and ultimately break. The research presented in this paper enables real-time identification of railway track faults using image processing techniques such as Canny edge detection and 2D discrete wavelet transformation. The Canny edge detection outperforms traditional track damage detection techniques including Axle Based Acceleration using Inertial Measurement Units and is as reliable as Fiber Bragg Grating. The Canny edge detection employed can identify squats in real-time owing to its specific threshold amplitude using a camera module mounted on a specially designed handheld Track Recording Vehicle (TRV). The 2D discrete wavelet transformation validates the insinuation of the Canny edge detector regarding track damage and furthermore determines damage severity, by applying high sub band frequency filter. The entire algorithm works on a Raspberry Pi 3 B+ utilizing an OpenCV API. When tested using an actual rail track, the algorithm proved reliable at determining track surface damage in real-time. Although wavelet transformation performs better than Canny edge detection in terms of determining the severity of track surface damage, it has processing overheads that become a bottleneck in real-time. To overcome this deficiency a very effective two-stage process has been developed.

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Railway Track Monitoring Using Train Measurements: An Experimental Case Study

Cited by 45 publications

References 30 publications

Measurement of the Geometric Center of a Turnout for the Safety of Railway Infrastructure Using MMS and Total Station

Measurement of the Geometric Center of a Turnout for the Safety of Railway Infrastructure Using MMS and Total Station

Environmentally Sustainable Wireless Track Recording Vehicle Strategy Towards Improving the Safety Standards

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

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