Research on The Control of Out-of-Round Wheel Profiles of High-Speed Railway Derived From Numerical Simulations

Song, Ying; Wang, Zhichen

doi:10.3991/ijoe.v9is6.2924

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…These are permanently installed in the railway tracks and therefore scale better as they can be frequented by an increasing quantity of rolling stock. Previous studies developed approaches on simulated [20,21] or test rig data [15]. These may not be transferable to real conditions.…”

Section: Related Workmentioning

confidence: 99%

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications

Rombach¹,

Michau²,

Kajan³

et al. 2022

SSRN Journal

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Section: Related Workmentioning

confidence: 99%

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications

Rombach¹,

Michau²,

Kajan³

et al. 2022

SSRN Journal

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“…In the study [7] and [8], the influence on dynamic response of wheel/rail impact vibration due to OOR derived from simulations was systematically studied, and the relationship between safety threshold of wheel OOR and vehicle speed was set up. Hence, train wheel condition using PVDF sensors to measure the track strain response upon wheel-rail interaction can be detected timely.…”

Section: Based On Case 3 As Shown Inmentioning

confidence: 99%

Study on Train Wheel Out-of-Roundness Monitoring Method by PVDF Sensing Technology

Song

Wang²,

Du³

2014

TOMEJ

Self Cite

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Wheel out-of-roundness (OOR) inevitably jeopardizes the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practices to identify wheel defects. However, the defects may not be spotted timely. The paper puts forward a new method of real-time monitor wheel OOR based on PVDF strain sensor. In this method, the track strain response upon wheel-rail interaction is measured and processed to generate a condition index which directly reflects the wheel condition. Firstly, theoretical model of relationship between PVDF sensor output and wheel/rail loads was set up, and the principle for measuring vertical wheel/rail contact forces was proposed. Secondly, the effects of horizontal wheel/rail force and train speed on the output results have been discussed. Finally, this approach was verified by finite element analysis, and the preliminary results showed that this electromagnetic-immune system provides an effective alternative for wheel defects’ detection.

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“…Kaller analyzed the wheel rail contact theory, and discussed the application scope and limitations of different contact theories [4][5]; Jin et al, Ma et al and Johansson et al measured the wheel out of roundness on site and analyzed the formation mechanism of wheel polygon [6][7][8][9][10]; Song et al and Liu and Zhai analyzed the relationship between the wheel polygon and the vertical dynamic action of wheel rail. The results show that the edge of wheel polygon will cause the high-frequency vibration of wheel set and rail [11][12].…”

Section: Introductionmentioning

confidence: 98%

Study on the influence of wheel polygon on the vibration characteristics of bogie system

Niu¹,

Pang²,

Zhang³

et al. 2022

Vib. proced.

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As one of the important core components of train running parts, the wheel rail related force will directly affect the vehicle running performance and passenger comfort. Take a high-speed train as the research object, the vehicle track coupling dynamic model is established. The influence of wheel polygon on the vibration characteristics of bogie system is analyzed through simulation. The results show that when the wheel polygon wear occurs, the effective value of lateral acceleration of polygonal wheel set axle box is about 18.9 % higher than that of normal wheel set axle box; at the same speed, with the increase of the wave depth of the wheel polygon, the effective values of the transverse and vertical acceleration of the axle box gradually increase; the effective value of axle box vertical vibration acceleration caused by wheel polygon with different amplitude increases first, then decreases and then increases with the change of vehicle speed. The effective value of axle box transverse and vertical acceleration caused by wheel polygon increases with the increase of wave depth or polygon order; the analysis shows that the polygonal wear of the wheel has a great impact on the vibration characteristics of the axle box and can cause the high-frequency vibration of the axle box.

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Research on The Control of Out-of-Round Wheel Profiles of High-Speed Railway Derived From Numerical Simulations

Cited by 4 publications

References 5 publications

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications

Study on Train Wheel Out-of-Roundness Monitoring Method by PVDF Sensing Technology

Study on the influence of wheel polygon on the vibration characteristics of bogie system

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