Infrared diagnostics of cracks in railway carriage wheels

Verkhoglyad, A. G.; Kuropyatnik, I. N.; Bazovkin, V. M.; Kuryshev, G. L.

doi:10.1134/s1061830908100021

Cited by 13 publications

(9 citation statements)

References 1 publication

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“…17 Any thermal resistance of cracks to heat flow leads to rapid changes in the temperature of the crack area. Verkhoglyad et al 23 recorded the alteration of the temperature extension on the surface of the wheel disc by means of an infrared camera. Contrary to the worthy results for recognizing the sub-surface cracks, this method can only be performed in workshops.…”

Section: Infrared Cameramentioning

confidence: 99%

Condition monitoring approaches for the detection of railway wheel defects

Alemi

Corman

Lodewijks

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

110

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Condition monitoring systems are commonly exploited to assess the health status of equipment. A fundamental part of any condition monitoring system is data acquisition. Meaningfully estimating the current condition and predicting the future behaviour of the equipment strongly depends on the characteristic of the data measurement stage. Nowadays, condition monitoring has wide applications in the railway industry and various monitoring approaches have been proposed for the inspection of wheel and rail conditions. In-service condition monitoring of wheels provides the real-time data required for maintenance planning, while in-workshop inspection is normally done at fixed intervals carried out periodically. In-service data acquisition can be divided into on-board and wayside measurements. In this paper, on the basis of these classifications, the existing data acquisition techniques for the monitoring of railway wheel condition are reviewed, and the state-of-the-art methods and required research are discussed.

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Section: Infrared Cameramentioning

confidence: 99%

Condition monitoring approaches for the detection of railway wheel defects

Alemi

Corman

Lodewijks

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

110

View full text Add to dashboard Cite

show abstract

“…In-service measurements can be further divided into two types based on the position of the data acquisition sensor: onboard measurements and wayside measurements. Ultrasonic techniques [20,21], infrared camera [22], and magnetic techniques [23][24][25] are commonly used monitoring tools used during in-workshop measurements of rail wheels. Acoustic techniques [26,27], ultrasonic technique [28], vibration measurements [29,30], and magnetic techniques [31,32] are common types of monitoring techniques used for in-service and onboard inspections of rail wheels.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Measurement Strategy for Track Side Monitoring of Railway Wheels

et al. 2023

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Wheelsets form an indispensable part of the railway rolling stock and need to be periodically inspected to ensure stable, safe, reliable, and sustainable rail operation. Wheel profiles are usually inspected and measured in a workshop environment using handheld equipment or by utilizing wayside measuring equipment. A common practice for both methods is to measure the wheel profile at one position along the circumference of the wheel, resulting in a one-slice measurement strategy, based on the assumption that the wheel profile has the same shape independent of the measurement position along the wheel. In this article, the representability of a one-slice measurement strategy with respect to the wheel profile parameters is investigated using handheld measurement equipment. The calculated range of standard deviation of the parameters estimated such as flange height, flange width, flange slope, and hollow wear from the measurements shows a spread in the parameter value along the circumference of the wheel. As an initial validation of the results, measurements from the wayside monitoring systems were also investigated to see if a similar spread was visible. The spread was significantly higher for flange height, flange width, and flange slope estimated from wayside measurement equipment than for the same parameters estimated using the handheld measurement equipment.

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“…By installing an acoustic sensor near the wheel, anomalous wheel-rail noises excited by wheel flats are collected and, then, analyzed. Verkhoglyad, Kuropyatnik et al [12] used an infrared camera to capture alterations of temperature extension on the wheel tread to detect the surface cracks. A limitation for on-board methods is that this method is quite time-consuming since the detection is only implemented after the rail is heated.…”

Section: Introductionmentioning

confidence: 99%

Railway Wheel Flat Recognition and Precise Positioning Method Based on Multisensor Arrays

et al. 2020

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Featured Application: Wheel flats are one of the most threatening defects during the service lifespan of railway vehicle wheels. This study proposes a new long-term monitoring method for wheel flats based on multisensor arrays. The dynamic strain responses of rails are captured by sensor arrays mounted on the rail web, ensuring that all the wheels are assessed during the train passage. Through data fusion among multiple sensors, the method locates the specific position of wheel defects. This study provides potential guidance for the maintenance of vehicles soon after the occurrences of defects.Abstract: Wheel flats have become a major problem affecting the long-term service of railway systems. Wheels with flats create intermittent impact loads to trains and rails. This not only accelerates the deterioration of vehicle and track components but also leads to abnormal wheel-rail contact conditions. An effective method for detecting wheel conditions is urgently needed to ensure the operation of the railway and provide guidance for the repair of wheels. However, most previous researches have used qualitative detection methods, and hence have been unable to achieve accurate positioning of the wheel flats. In addition, the theoretical basis for the layout scheme for wheel flat detection sensors is lacking, making it impossible to meet the needs of field applications. In this study, we simulated the spatial distribution characteristics of rail strain, under different wheel flat conditions, and based on this, a layout scheme of multisensor arrays was proposed which more effectively captured the responses of the wheel flats. A wheel flat recognition and precise positioning method based on multisensor fusion was designed. The algorithm was validated through the combination of experimental and simulation methods. The result shows that the algorithm can ideally detect and locate the wheel flats under complex conditions.

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Infrared diagnostics of cracks in railway carriage wheels

Cited by 13 publications

References 1 publication

Condition monitoring approaches for the detection of railway wheel defects

Condition monitoring approaches for the detection of railway wheel defects

Evaluation of Measurement Strategy for Track Side Monitoring of Railway Wheels

Railway Wheel Flat Recognition and Precise Positioning Method Based on Multisensor Arrays

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