Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways

WANG Ping; WANG Xin; WANG Yuan; ZHANG Ronghe

doi:10.3969/j.issn.0258-2724.20180283

Volume 55 Issue 4

Jul. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(4): 681-687.

WANG Ping, WANG Xin, WANG Yuan, ZHANG Ronghe. Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283

Citation:

WANG Ping, WANG Xin, WANG Yuan, ZHANG Ronghe. Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283

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Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways

doi: 10.3969/j.issn.0258-2724.20180283

WANG Ping^{1,2
,},
WANG Xin^{1,2
,},
WANG Yuan^1,2,
ZHANG Ronghe^1,2

Received Date: 24 Apr 2018
Rev Recd Date: 30 May 2018

Available Online: 31 Oct 2018

Publish Date: 01 Aug 2020

Abstract

Abstract

To detect the amplitudes of polygonal wheels of high-speed railways and better understand the track spectrum, a model based on track irregularity was established for rapidly measuring the amplitude of polygonal wheels. Firstly, the amplitude distribution of polygonal wheels was analyzed within track irregularity inspection data and intensive sampling method (ISM) was proposed. The dynamic detection model of polygonal wheels was established on the basis of the sparse sampling data of track irregularity. The results of numerical simulation show that the polygonal wheel has little influence on the amplitude of the discrete track irregularity data obtained by the inertial reference method, but it has great influence on the frequency domain of track irregularity (track spectrum density). The polygonal wheel can affect the track irregularity inspection data with its wavelength being less than or equal to wheel length and the former is more affected. It also affects the long-wave track inspection irregularity. The maximum influence wavelength is only related to wheel perimeter and sampling interval. The proposed dynamic detection model can effectively extract the amplitude of polygonal wheels from track irregularity inspection data. The measuring error can be limited to 0.02 mm.
- high-speed railways,
- polygonal wheels,
- track irregularity,
- intensive sampling method,
- detection model

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References

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Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways

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