| Citation: | WANG Hao, WANG Shengchun, WANG Weidonget al. Automatic registration method of rail profile in train-running environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(11): 2273-2282. doi: 10.13700/j.bh.1001-5965.2018.0050(in Chinese)
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Aimed at the influence of train vibration and environmental noise on the measurement of track wear, we proposed a method for automatic extraction of small circular arc of the rail waist, and achieved the high-precision registration of rail profile. First, a polynomial fitting method based on truncated residual histogram was proposed to find the optimal fitting curve of the profile and reduce the influence of noise on profile curve fitting; Then, aimed at the curvature distribution characteristics of the fitting curve, the interval search algorithm based on dynamic window's maximum curvature entropy was proposed to realize the automatic segmentation of small circular arc; Finally, two circle centers were fitted as matching reference points based on small circular arcs on both sides, and the alignment from the measured profile to the standard designed profile was realized. The static experimental results show that the mean value of system measurement error and standard deviation of the method are controlled within 0.01 mm with small measurement errors and high repeatability. The dynamic test also verified the repeatability accuracy of the method in the train-running environment, and the dynamic measurement deviation of rail wear is within 0.2 mm with high repeatability.
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