The data analysis of unceasing axle dynamic track scale
The testing datas 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 fittings 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.
Dynamic track scale Hilbert-Huang Transform EMD
ZHANG Wen-ai JIA Run-zhen
Taiyuan University of Technology Taiyuan, Chinese
国际会议
北京
英文
259-262
2010-09-18（万方平台首次上网日期，不代表论文的发表时间）