基于改进半径约束圆拟合方法的钢轨磨耗检测

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Abstract Research purposes: Rail wear detection is an important method to ensure track quality and safe operation of the track system. Traditional rail inspection methods rely on the manual measuring of the rail profile with specific instruments and then the rail wear can be calculated. These methods require a great deal of manpower and material resources. The non-contact measurement method with line structured light provides quick and efficient measurement of the rail profile and wear calculation in real-time, and its high detection efficiency and safety have high potential applications.
Research conclusions: (1) Outlier removal algorithm can effectively remove the rail profile noise due to sampling of the line structured light. (2) The interpolation algorithm combined with the characteristics of the structure proportion of 60 kg rail can accurately segment the rail profile. (3) The coordinates of the circle center of selected rail section is extracted precisely by radius constraint-based circle fitting algorithm. (4) The results of the wear detection experiment show that after using the rail wear detection method, the root mean square error of the total rail wear is 0.08 mm, which can meet the requirements of rail wear detection. (5) The research results can provide reference for the operation and maintenance of rail transit.

Key words： rail wear detection line structured light profile matching radius constraint

Received: 21 June 2022

PACS:

U216.3

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	Articles by authors
	LUO Qingli
	CHEN Zhiyuan
	ZHANG Shubin
	SHI Debin
	TAN Zhao
	GAN Jun

Cite this article:

LUO Qingli,CHEN Zhiyuan,ZHANG Shubin, et al. A Rail Wear Detection Method with Improved Radius Constrained Circle Fitting Algorithm[J]. Journal of Railway Engineering Society, 2024, 41(3): 38-44.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2024/V41/I3/38

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