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

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (5) : 180-187.

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

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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.

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weigh-in-motion (WIM) / piezoelectric signal / embedding dimension / reconstruction order / SSA de-noising algorithm

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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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