Wayside system for wheel–rail contact forces measurements

Milković, Dragan; Šimić, Goran; Jakovljević, Živana; Tanasković, Jovan; Lučanin, Vojkan

doi:10.1016/j.measurement.2013.06.017

Cited by 51 publications

(35 citation statements)

References 16 publications

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“…Considering that the vertical rail responses surge intensively when wheel flats exist [29], measurement methods for vertical wheel-rail forces are feasible solutions to monitor the wheel defects. Conventional vertical wheel-rail forces measurement methods include: (1) sheer force method [30], (2) rail base bending moment method [31], (3) rail web bending moment method [32], and (4) rail web compression method [33]. Although they have different layout schemes (shown in Figure 6), they all achieve the purpose by establishing a relationship between the sensor outputs and the vertical loads.…”

Section: Sensitivity Of Different Layout Schemes To Wheel Flatsmentioning

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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Section: Sensitivity Of Different Layout Schemes To Wheel Flatsmentioning

confidence: 99%

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

et al. 2020

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“…However, it may not meet the requirements of IMFs [14]. Therefore, ℎ 1 ( ) has to be processed again as a new time series as (1) and (2). The new mean 1 ( ) and the difference ℎ 2 ( ) are…”

Section: Emd Energy Conservation Principle For a Time Seriesmentioning

confidence: 99%

“…Large volume of methods has been developed over the decades for this purpose. There is a common way to detect wheel flats, which is the measurement of wheel-rail impact forces in an instrumented rail [2][3][4]. Acceleration sensors are also fixed on the rail instead of strain gauges or fiber Bragg grating to measure rail vibration [5,6].…”

Section: Introductionmentioning

confidence: 99%

Railway Wheel Flat Detection Based on Improved Empirical Mode Decomposition

Liu

Wang

2016

Shock and Vibration

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This study explores the capacity of the improved empirical mode decomposition (EMD) in railway wheel flat detection. Aiming at the mode mixing problem of EMD, an EMD energy conservation theory and an intrinsic mode function (IMF) superposition theory are presented and derived, respectively. Based on the above two theories, an improved EMD method is further proposed. The advantage of the improved EMD is evaluated by a simulated vibration signal. Then this method is applied to study the axle box vibration response caused by wheel flats, considering the influence of both track irregularity and vehicle running speed on diagnosis results. Finally, the effectiveness of the proposed method is verified by a test rig experiment. Research results demonstrate that the improved EMD can inhibit mode mixing phenomenon and extract the wheel fault characteristic effectively.

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“…Contact forces between wheel and rail are essential factors that determine the wear and RCF behaviors of the rim [15], and there are some methods to measure them [16,17]. RCF surface cracks usually occur due to unidirectional plastic material flow caused by tangential forces between wheel and rail.…”

Section: Introductionmentioning

confidence: 99%