Condition Monitoring of Railway Track Using In-Service Vehicle

Tsunashima, H.; Naganuma, Yasukuni; Matsumoto, Akira; Mizuma, Takeshi; Mori, Hirotaka

doi:10.5772/35205

Cited by 52 publications

(43 citation statements)

References 5 publications

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“…This has been validated against dedicated TRV results. [14] Events are defined as accelerations exceeding a threshold level, or track irregularities exceeding given threshold levels. A unique sensing feature of this system is detecting trains passing, presumably as these cause significant body accelerations that might otherwise be identified as track irregularities.…”

Section: Track Condition Monitoring Systems On In-service Vehiclesmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

195

130

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This paper presents a view of the current state of monitoring track geometry condition from in-service vehicles. It considers technology used to provide condition monitoring; some issues of processing and the determination of location; how things have evolved over the past decade; and what is being, or could/should be done in future research. Monitoring railway track geometry from an in-service vehicle is an attractive proposition that has become a reality in the past decade. However, this is only the beginning. Seeing the same track over and over again provides an opportunity for observing track geometry degradation that can potentially be used to inform maintenance decisions. Furthermore, it is possible to extend the use of track condition information to identify if maintenance is effective, and to monitor the degradation of individual faults such as dipped joints. There are full unattended track geometry measurement systems running on in-service vehicles in the UK and elsewhere around the world, feeding their geometry measurements into large databases. These data can be retrieved, but little is currently done with the data other than the generation of reports of track geometry that exceeds predefined thresholds. There are examples of simpler systems that measure some track geometry parameters more or less directly and accurately, but forego parameters such as gauge. Additionally, there are experimental systems that use mathematics and models to infer track geometry using data from sensors placed on an in-service vehicle. Finally, there are systems that do not claim to measure track geometry, but monitor some other quantity such as ride quality or bogie acceleration to infer poor track geometry without explicitly measuring it.

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Section: Track Condition Monitoring Systems On In-service Vehiclesmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

195

130

View full text Add to dashboard Cite

show abstract

“…First of all, methods based on Kalman filter are described in the literature, as in [8][9][10]. Some specific multi-model approach to the problem is presented in [11][12][13][14][15] and method that use dynamical interactions between bogie movements is given in papers such as [16][17][18]. Nevertheless, no information about implementation of these methods in the real monitoring systems could be found.…”

Section: Introductionmentioning

confidence: 99%

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Kostrzewski¹

2017

Vib. proced.

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Abstract. The subject matter of the paper is an analysis of the results of acceleration signals measurement obtained from the prototype of Rail Vehicle and Rail Track Monitoring System. The prototype of the system measures acceleration signals on some elements of electric multiple unit, such as bogie frames, wheels and railway vehicles body. The results of measurement were converted to values of statistical parameters, e.g.: an amplitude, a root mean square, a kurtosis coefficient, an interquartile range. The values of diagnostic parameters, when compared with the permissible values, allow to monitor the typical dynamic behaviors of rail vehicle and track condition and to determine a condition of a rail vehicle construction. The main purpose of the analysis described hereby was to determine the usefulness of various diagnostic parameters and to identify the direction of further research connected to condition monitoring and diagnosing of rail vehicles and track.

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“…The irregular vehicle movement can refer to track irregularities and different exciter frequency components are registered in the recorded signal, depending on the defect types. There are numerous solutions in literature to detect different wavelengthtrack defects by using the techniques of signal processing, for instance conventional Fourier Transform [18] [25] [26] and wavelet approaches [9] [27] to [29]. Due to the fact that in tramway operation the sensors cannot be mounted on axle boxes, so a not-commonly used vehicle dynamic measurement set-up is carried out by the Authors [8] [30] to detect poor track geometry and structural problems.…”

Section: Track Condition Monitoring In Loaded Statementioning

confidence: 99%

Experimental Investigation on Condition Monitoring Opportunities of Tramway Tracks

Vinkó

Bocz

2017

Period. Polytech. Civil Eng.

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Condition Monitoring of Railway Track Using In-Service Vehicle

Cited by 52 publications

References 5 publications

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Experimental Investigation on Condition Monitoring Opportunities of Tramway Tracks

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