Application of improved wavelet threshold algorithm based on EEMD in ultrasonic water meter

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (5) : 208-213.

JIANG Yuan1,2, SHANGGUAN Biao1, ZENG Jingkai1

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Abstract

In light of the problem that ultrasonic water meters suffer the decrease of measurement accuracy due to susceptibility to noise interference in the actual working environment, an improved wavelet threshold noise reduction algorithm based on ensemble empirical mode decomposition (EEMD) is proposed. To improve the noise reduction effect, the wavelet threshold noise reduction algorithm is improved, a nonlinear threshold function is constructed to replace the traditional threshold function, and meanwhile, a method for selection of the decomposition scale is given. The flow rate signal is decomposed into a series of eigenmode functions using EEMD, and by means of an improved wavelet threshold noise reduction algorithm, the eigenmode function is subjected to noise suppression to remove the noise component. In order to verify the applicability of the algorithm, it is compared with the wavelet threshold noise reduction algorithm and the spatio-temporal filtering analysis method. The experimental results demonstrate that the improved wavelet threshold noise reduction algorithm based on EEMD has a better noise reduction effect on the flow rate signal of the ultrasonic water meter.

Key words

Ensemble empirical mode decomposition / Ultrasonic water meter / Wavelet threshold denoising / Wavelet transform / Signal-to-noise ratio

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JIANG Yuan1,2, SHANGGUAN Biao1, ZENG Jingkai1. Application of improved wavelet threshold algorithm based on EEMD in ultrasonic water meter[J]. Journal of Vibration and Shock, 2022, 41(5): 208-213

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