Optimized vehicle acceleration measurement for rail track condition monitoring

Chellaswamy, C.; Duraichamy, S; Glaretsubin, P.; Vanathi, A.

doi:10.1109/iccct2.2017.7972265

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…Tešić et al [ 279 ] developed software that helps to discover and interpret typical situations connected to irregularities on railway tracks based on measurements from five accelerometers (located on the track, body, and axles). Chellaswamy et al [ 280 ] developed a differential evolution algorithm in order to optimize the values of irregularities that were received from bogies’ and car bodies’ acceleration measurements by MEMS sensors (accelerometers). These measurements gave the authors actual data about track alignment, which was further investigated with use of the mathematical model and the frequency response analysis.…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Kostrzewski

Melnik

2021

Sensors

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Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.

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Section: Systematic Literature Reviewmentioning

confidence: 99%

Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Kostrzewski

Melnik

2021

Sensors

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“…The quality of rail joints is determined by processing the axle box acceleration signals of all the wheels of the rail vehicle in time and frequency domains. The responses of rail joints in a good condition are compared with those in a bad condition [15,16]. Li proposes a three-layer infrastructure health monitoring sensor network for high-speed rail systems.…”

Section: Measurement Science and Technologymentioning

confidence: 99%

A new methodology for optimal rail track condition measurement using acceleration signals

Chellaswamy¹,

Muthammal

Geetha³

2018

Meas. Sci. Technol.

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This paper describes the possibility of estimating the health of a rail track in order to improve the comfort and ride quality of rail transportation by using the measured acceleration signal. The irregularities present in the track are the primary causes of vibration and these should be identified and the faults rectified to increase the safety of train travel. In this paper, a differential evolution technique based track measurement system (DE-TMS) is proposed to measure the health of the track. The abnormality of the track has been measured using micro electro mechanical system (MEMS) accelerometers which are mounted in the axle box. A new sensing method is used to estimate the exact location of the irregularity even when the signal is absent. The DE-TMS is simulated and compared with two other optimization techniques such as the particle swarm optimization technique and the covariance matrix adaptation with evolutionary strategy to evaluate the performance. The comparison results from the investigation show that the proposed DE-TMS provides cost-effective maintenance, and increase the safety of rail transportation. Finally, an experimental study was performed in four different irregularity cases and the results are estimated.

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“…Effects of traction motor on the results was considered as noise and they also neglect change in speed and its effects on their results. Chellaswamy et al 11 measured the axle-box acceleration in three pieces bogie and examined the track irregularity and its failures. In their work, four accelerometers (horizontal and vertical accelerometers on axle-box and a vertical and horizontal one on the side frame) were used.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, with the help of the differential evolution algorithm and simulation, they showed that this method can be used for short-wavelength and medium-wavelength defects. 11 In 2017, Boyang An et al 12 by using field test measurement and mathematical modelling, examined the relationship between the dynamic force caused by rail weld and the severity of welding failure in high-speed lines. The results were examined both in the time and time-frequency domain using S-conversion.…”

Section: Introductionmentioning

confidence: 99%

Detection of rail local defects using in-service trains

Shadfar

Molatefi

2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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As track components deteriorate, their interaction dynamic response will alter accelerations on the train. Measuring acceleration on train components is a method to conduct condition monitoring of track defects. The measured signal can be used for the detection of rail surface defects which implement impacts on measured accelerations. In this paper, the axle-box acceleration (ABA) is measured in a subway as a case study. Fourier transform (FFT), empirical mode decomposition (EMD) and ensemble EMD (EEMD) methods are used to study accelerations relative to the track. Wheel frequencies are calculated using finite element method (FEM) to determine frequency couplings. Velocity-dependent/independent components and source of excitation of the measured signal are distinguished. Results indicated that the FFT approach can be applied for both velocity-dependent and velocity-independent vibration components for frequencies up to 680 Hz. Also, the EEMD method can be used to distinguish the impact component of the measured signal.

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Optimized vehicle acceleration measurement for rail track condition monitoring

Cited by 10 publications

References 8 publications

Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

A new methodology for optimal rail track condition measurement using acceleration signals

Detection of rail local defects using in-service trains

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