Condition Monitoring of NFR Trains With Measurements From a Single Wayside 3D Vibration Sensor

Barman, Jyoti Kumar; Hazarika, Dibya Jyoti

doi:10.1109/jsen.2019.2961942

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…In Barman and Harazika [ 340 ], the authors attempted to develop a sensor -based system to achieve train condition monitoring; this system was a vibration sensor , together with the insignificant effect of temperature on its measurements. In order to store vibration data, an embedded system using the Arduino Uno board was developed.…”

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 fundamental time-domain and frequency-domain based methods have been used to determine the condition of a train using measurements of railway track vibrations under a train in motion. The article in [ 29 ] confirms the legitimacy of searching for new, low-cost solutions that can be used in the diagnosis of tracks and rail vehicles. The authors conducted many studies using rail vibration measurements with a view to identifying passing trains [ 30 ] and the vibration responses of rail infrastructure devices or passing cars [ 31 ], as well as identifying rail damage [ 32 ].…”

Section: Introductionmentioning

confidence: 90%

“…[ 28 ]. Paper [ 29 ] presents the concept of a simple sensor-based system for train condition monitoring. This system uses an ADXL335; this is a small, thin, low-power, complete 3-axis accelerometer with signal-conditioned voltage output.…”

Section: Introductionmentioning

confidence: 99%

Research on the Applicability of Vibration Signals for Real-Time Train and Track Condition Monitoring

Celiński

Burdzik

Młyńczak

et al. 2022

Sensors

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The purpose of this research was to analyze the possibilities for the application of vibration signals in real-time train and track control. Proper experiments must be performed for the validation of the methods. Research on vibration in the context of transport must entail many of the different nonlinear dynamic forces that may occur while driving. Therefore, the paper addresses two research cases. The developed application contains the identification of movement and dynamics and the evaluation of the technical state of the rail track. The statistics and resultant vector methods are presented. The paper presents other useful metrics to describe the dynamical properties of the driving train. The angle of the resultant horizontal and vertical accelerations is defined for the evaluation of the current position of cabin. It is calculated as an inverse tangent function of current longitudinal and transverse, longitudinal and vertical, transverse, and vertical accelerations. Additionally, the resultant vectors of accelerations are calculated.

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Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique

Hazarika¹,

Barman²

2020

J. Inst. Eng. India Ser. B

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Condition Monitoring of NFR Trains With Measurements From a Single Wayside 3D Vibration Sensor

Cited by 9 publications

References 12 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

Research on the Applicability of Vibration Signals for Real-Time Train and Track Condition Monitoring

Development of a Mathematical Model for a Railway Track Using a Gray-Box Modelling Technique

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