Because of the complexity of high-speed train operation, the measured wall pressure of high-speed train will be affected by many factors, such as train vibration and environmental changes, which make the test signal inaccurate. The main interferences are the electromagnetic interference caused by the complicated electromagnetic environment and the sensor output interference caused by the train body vibration. In this paper, ensemble empirical mode decomposition (EEMD) combined with singular value decomposition (SVD) and the local projection de-noise algorithm with better effect on non-linear time series noise reduction are used to eliminate electromagnetic interference in test signal. Because of the frequency band aliasing of test signal and interference cause by vibration, it is difficult to eliminate vibration interference by the signal processing method. In this paper, a vibration interference model is established by model-train experiment and computational fluid dynamics (CFD) software to eliminate the vibration interference in the test signal. Moreover, the theoretical guidance for accurately extracting the wall pressure of high-speed train has been put forward.

中文翻译：

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基于相空间重构和振动干扰模型的高速列车壁面脉动压力测试信号的干扰消除

由于高速列车运行的复杂性，高速列车的壁压实测会受到列车振动、环境变化等诸多因素的影响，使测试信号不准确。主要干扰是复杂的电磁环境引起的电磁干扰和车体振动引起的传感器输出干扰。本文采用集合经验模态分解(EEMD)结合奇异值分解(SVD)和对非线性时间序列降噪效果较好的局部投影去噪算法来消除测试信号中的电磁干扰。由于测试信号的频带混叠和振动引起的干扰，信号处理方法难以消除振动干扰。本文通过模型训练实验和计算流体动力学（CFD）软件建立了振动干扰模型，以消除测试信号中的振动干扰。并为准确提取高速列车壁压提出了理论指导。