On-line detection of vehicle-mounted ballast bed quality status based on improved Kalman filter

Chun-jun Chen; Huan Wang; Hui-jie Qin; Wen-hui Xiong

doi:10.1117/12.2623906

6 February 2022 On-line detection of vehicle-mounted ballast bed quality status based on improved Kalman filter

Chun-jun Chen, Huan Wang, Hui-jie Qin, Wen-hui Xiong

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120810E (2022) https://doi.org/10.1117/12.2623906
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

Considering the current ballasted track bed quality state evaluation and detection method is off-line, low efficiency and other defects, the lateral displacement of the rail row has been proposed as a new evaluation index for the quality state of the track bed. Regarding the track as a dynamic system, the vehicle-mounted excitation device applies lateral excitation to the rail row and measures its lateral displacement. It is difficult to directly measure the lateral displacement of the rail row. An estimation algorithm based on Kalman filter is designed to calculate the lateral displacement of rail row in real time; Meanwhile, wavelet transform and covariance matching algorithm is introduced to adaptively optimize the two key design parameters of the Kalman filter: measurement noise covariance matrix R and system noise covariance matrix Q to improve the robustness of Kalman filter algorithm. Finally, the measured data of the railway line verifies that the algorithm can accurately estimate the lateral vibration displacement of the track row through the acceleration signal, and provide technical support for the future research on the continuous online detection of the quality state of ballast track bed.

Citation Download Citation

Chun-jun Chen, Huan Wang, Hui-jie Qin, and Wen-hui Xiong "On-line detection of vehicle-mounted ballast bed quality status based on improved Kalman filter", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120810E (6 February 2022); https://doi.org/10.1117/12.2623906

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KEYWORDS

Filtering (signal processing)

Resistance

Wavelet transforms

Sensors

Signal detection

Interference (communication)

Detection and tracking algorithms

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