车辆动态称重压电信号的 降噪算法与试验

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (5) : 180-187.

论文

车辆动态称重压电信号的降噪算法与试验

刘小锋1，冯志敏1，陈跃华1，张刚1，李宏伟2

作者信息 +

SSA de-noising algorithm and tests for piezoelectric signals of vehicle weigh-in-motion

LIU Xiao-feng 1 FENG Zhi-min 1 CHEN Yue-hua1 ZHANG Gang 1 LI Hong-wei2

Author information +

文章历史 +

摘要

为提高车辆动态称重压电信号的信噪比，要在奇异谱分析降噪算法中确定合理的嵌入维数与重构阶次。基于算法，提出一种稳定性方法确定嵌入维数，并以累积能量贡献率变化量确定重构阶次，在信号上加入不同方差的高斯白噪声进行实验仿真，验证降噪算法的可行性和有效性，并评价噪声方差对结果的影响。在不同车速下，对五种载重不同的车辆进行工程实测试验。结果表明，车速在，平均称重误差控制在，利用降噪算法处理车辆动态称重压电信号，达到较好的降噪效果，称重精度及稳定性均能满足实际工程要求。

Abstract

In order to increase the signal to noise ratio (SNR) of piezoelectric signals in vehicle weigh-in-motion (WIM), it is necessary to determine reasonable embedding dimension and reconstruction order of the singular spectral analysis (SSA) de-noising algorithm. Here, a new stability method based on Cao algorithm was presented to determine embedding dimension, the variation value of cumulative energy contribution rate was used to determine reconstruction order. Gaussian white noise with different variances was added into Lorenz signal to do simulation, verify the feasibility and validity of SSA de-noising algorithm, and evaluate the effect of noise variance on the results. Five vehicles with different loads and at different speeds were used to perform the actual engineering tests. The results showed that when the vehicle speed is within the range of 10-50km/h, the average WIM error is controlled within the range of 2.72 to 4.72 %, so using SSA de-noising algorithm to process vehicle WIM piezoelectric signals can reach a better de-noising effect, the accuracy and stability of WIM can meet practical engineering requirements.

导出引用

刘小锋1，冯志敏1，陈跃华1，张刚1，李宏伟2. 车辆动态称重压电信号的降噪算法与试验[J]. 振动与冲击, 2018, 37(5): 180-187

LIU Xiao-feng 1 FENG Zhi-min 1 CHEN Yue-hua1 ZHANG Gang 1 LI Hong-wei2. SSA de-noising algorithm and tests for piezoelectric signals of vehicle weigh-in-motion[J]. Journal of Vibration and Shock, 2018, 37(5): 180-187

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