Dynamic detection method for rail cants based on laser camera transducers

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (18) : 251-256.

XIONG Shiyong1 CHEN Chunjun1 WANG Feng2 XIA Yin2

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Abstract

The dynamic detection of rail cants can efficiently guide the railway operation and maintenance.Reasonably setting rail cant angle is beneficial to ensure the reasonable contact between rail head and wheel tread, therefore increasing the rail service life.A method was proposed based on the laser camera technology, which can continually extract the contour of rail on line.Considering the influence of the camera lens distortion on the rail contour image, a nonlinear calibration resolver model for the spatial attitude relationship of two laser camera sensors was established.By using the data fusion function of the Kalman filtering algorithm, a state space model for the multi-sensor signal fusion was established to eliminate the effect of car body vibration on the calculating results of rail cants.At last, a GJ-4 type track inspection vehicle was taken to perform the real vehicle test and it is verified the rail cant calculation method proposed is feasible and practical.The sensor data after Kalman filtering can compensate the results of the rail cant angle calculation very well.

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XIONG Shiyong1 CHEN Chunjun1 WANG Feng2 XIA Yin2. Dynamic detection method for rail cants based on laser camera transducers[J]. Journal of Vibration and Shock, 2018, 37(18): 251-256

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