Abstract
The testing data’s analysis is the key factor of influencing the metrical accuracy of unceasing axle dynamic track scale. This thesis used Hilbert-Huang transform to analyze the detection signal, adopted experience mode decomposition arithmetic, and simulated through MATLAB. Then put the maximum value of residuals to curve fitting four times. Then the average curve fitting’s value is what we seek. Simulation shows that this method can greatly improve the measurement accuracy of dynamic track scale, and heavier trains on the measurement of relatively high precision.
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Wen-ai, Z., Run-zhen, J. (2012). The Data Analysis of Unceasing Axle Dynamic Track Scale. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11276-8_67
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DOI: https://doi.org/10.1007/978-3-642-11276-8_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11275-1
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