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| Research on separation of vibration interference of high-speed train surface pressure test signal |
| HE Hong-yang CHEN Chun-jun MIAO Xiao-lang HE Fa-sheng |
| School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031 |
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Abstract Piezoresistive pressure sensors were affected by shock and vibration when testing surface pressure of high-speed train, which causes sensors’ output interference. Simultaneously, train vibration would cause the change of surface pressure, leading to separating useful signal from interference signal difficultly and accurately. For the phenomenon of end effects and mode mixing during the process of noise reduction by existing empirical mode decomposition (EMD), an improved ensemble empirical mode decomposition (IEEMD) method was put forward and used this method to validate simulated signals. The model-train was given single degree of freedom vibration excitation. Train surface pressure signal was decomposed by IEEMD, and calculated the correlation coefficients between intrinsic mode functions’ (IMFs) autocorrelation function and original signal autocorrelation function. Thus, the pressure from vibration was extracted. At the same time, vibration pressure was calculated by CFD when model-train was given the same excitation, so vibration interference was separated. This text established the regression relationship between vibration and vibration interference to provide theoretical guidance for extraction of surface pressure accurately.
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Received: 12 June 2014
Published: 15 October 2015
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