Abstract
A method based on axle box vibration analysis is proposed to detect the length of squats. First, the dynamic model of wheel/rail is established for the research on relation between the frequency of track irregularity and that of axle box acceleration. Second, the basic principles of Adaptive Morphological Filtering (AMF) and Frequency Slice Wavelet Transform (FSWT) are introduced, and the slice function in FSWT is improved to advance the performance of FSWT to different signals. Finally, the measured axle box vibration signals from a metro are analyzed to estimate squats length. The results show that the method has a good engineering adaptability and feasibility.
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Acknowledgements
This work is supported by National Key R&D Program of China under Grant (2016YFB1200402).
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Yang, Z., Xing, Z., Jiang, J. (2018). Detection of Squats Length Based on Axle Box Vibration Analysis. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_3
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DOI: https://doi.org/10.1007/978-981-10-7989-4_3
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