A measurement system for quick rail inspection and effective track maintenance strategy

Bocciolone, M.; Caprioli, A.; Cigada, Alfredo; Collina, Andrea

doi:10.1016/j.ymssp.2006.02.007

Cited by 140 publications

(81 citation statements)

References 6 publications

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“…[23] A few other sensors help to identify curving to get some idea of location as GNSS is not possible underground. Corrugation is not addressed by most UGMS, only those augmented with axlebox-mounted accelerometers.…”

Section: Academic and Experimental Systemsmentioning

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: Academic and Experimental Systemsmentioning

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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“…A technology capable of (1) shortwave irregularity detection and (2) the capture of the dynamic response of welds is needed [16]. ABA measurement systems with these capabilities have been reported in different countries: the detection of lateral and vertical track irregularities in Korea [17]; the evaluation of wheel load fluctuation and rolling noise in Japan [18]; the detection of corrugations in Poland [19] and Italy [20]; the detection of rolling contact fatigue defects, damaged welds, and insulated joints in the Netherlands ( [21], [22]); and the analysis of vertical track geometry in Spain [23]. ABA system implementation has different advantages: (1) ABA is a low-cost measurement system compared to other types of detection methods.…”

Section: A Aba Measurement Systemmentioning

confidence: 99%

Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration

Núñez

Jamshidi

Wang

2019

IEEE Trans. Ind. Inf.

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Abstract1 -This paper presents a Pareto-based maintenance decision system for rail welds in a regional railway network. Weld health condition data are collected using a train in operation. A Hilbert spectrum-based approach is used for data processing to detect and assess the weld quality based on multiple registered dynamic responses in the axle box acceleration measurements. The assessment of the welds is stochastic in nature and variant over time, so a set of robust and predictive key performance indicators is defined to capture the weld degradation dynamics during a given maintenance period. Using a scenario-based approach, two objective functions are defined, performance and the number of weld replacements. Evolutionary multi-objective optimization is employed to optimize the objective functions so that the trade-offs between performance and cost support decision-making for railway network maintenance. The results of the proposed methodology show that the infrastructure manager can localize field inspections and maintenance efforts on the area with the most critical welds. To showcase the capability of the proposed methodology, measurements from a regional railway network in Transylvania, Romania are employed.

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“…In the case of conventional railways, the European Norms 13848 series [16] partly defines approaches for evaluation of track quality from vehicle dynamics measurement, but there are no standards available in the case of tramway operation, which significantly differs from conventional railways in both rolling stocks and infrastructure. [21] to [24] are commonly used for measuring vehicle dynamics behaviour. 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.…”

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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A measurement system for quick rail inspection and effective track maintenance strategy

Cited by 140 publications

References 6 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

Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration

Experimental Investigation on Condition Monitoring Opportunities of Tramway Tracks

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